Explore 4 quantitative developer jobs from 3 hiring companies in Denison, TX, US. Filter by remote, salary, experience, and company, then open any listing to apply.

quantitative-developer

Quantitative Developer

Sherman

Durant

McKinney

Frisco

Gainesville

Bonham

Anna

Prosper

Allen

Ardmore

Little Elm

Greenville

Pottsboro

Celina

Melissa

Princeton

Fairview

Preston

Whitesboro

Quantitative Developer Jobs

USAA

JPMorgan Chase

Yum! Brands

Hybrid

Onsite

Yum Crave AI is seeking a Data Scientist (AI/ML Modeling &amp; Algorithms) to support the development and implementation of machine learning models that address operational and business needs. In this role, you will work on moderately complex modeling assignments, applying established data science techniques to deliver scalable AI/ML solutions in partnership with cross-functional teams.This role is ideal for a data scientist who is strengthening their expertise in applied modeling and progressing toward senior-level ownership.<h3>Responsibilities</h3><div>AI / ML Model Development<ul style="list-style-type: disc;"><li>Develop and implement machine learning models using established approaches (regression, classification, forecasting, optimization)</li><li>Translate business and operational requirements into structured modeling problems with guidance from senior team members</li><li>Perform feature engineering, model training, validation, and evaluation using defined best practices</li><li>Contribute to improving existing models and pipelines</li></ul>Experimentation &amp; Model Evaluation<ul style="list-style-type: disc;"><li>Support the design and analysis of experiments (e.g., A/B tests, simulations) under guidance</li><li>Monitor model performance and identify opportunities for improvement</li><li>Apply standard processes to assess model quality, accuracy, and reliability</li></ul>Data &amp; Technical Execution<ul style="list-style-type: disc;"><li>Work with structured and semi-structured datasets to prepare data for modeling</li><li>Write clean, maintainable Python and SQL code</li><li>Partner with Data Engineering and ML Engineering to support model deployment</li></ul>Collaboration &amp; Communication<ul style="list-style-type: disc;"><li>Clearly communicate analytical findings to technical and non-technical stakeholders</li><li>Document assumptions, methodologies, and results</li></ul>Build strong working relationships within the immediate team and cross-functional partners</div><h3>Qualifications</h3><div><ul style="list-style-type: disc;"><li>Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics)</li><li>2+ years of experience in data science or machine learning</li><li>Experience applying machine learning techniques to real-world problems</li><li>Proficiency in Python and SQL</li><li>Understanding of model evaluation metrics and validation approaches</li></ul>Preferred Qualifications<ul style="list-style-type: disc;"><li>Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch)</li><li>Experience working in cloud environments (AWS, GCP, or Azure)</li><li>Familiarity with experimentation methodologies (A/B testing)</li><li>Experience collaborating with engineering teams on production deployments</li></ul>&nbsp;<p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(51, 51, 51); font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">Salary Range: 106,600 - 133,200<p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(51, 51, 51); font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">Benefits: Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan). Yum! also provides short-term disability, long-term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half day Fridays year-round and 2 paid days for volunteer time each calendar year. To learn more about working at Yum! -<a href="https://www.yum.com/wps/portal/yumbrands/Yumbrands/careers#xd_co_f=MmVjOTE4NjktNDg4YS00YzNlLWEwOWYtMjNlNWQ3OTYxNWQz~" target="_blank">Click here.&nbsp;</a><p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(51, 51, 51); font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">At Yum!, one of our core values is to Believe in ALL People. This means seeing the value in everyone and unlocking their full potential to be their best self. YUM! Brands, Inc. (including its subsidiaries Yum Restaurant Services Group, LLC (“YRSG”) and Yum Connect, LLC (“Yum Digital and Technology”)(collectively, “Yum”) is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. &nbsp;We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.<p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(51, 51, 51); font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">US Job Seekers/Employees -&nbsp;<a href="https://nam11.safelinks.protection.outlook.com/?url=https://www.dol.gov/agencies/ofccp/posters&amp;data=05|01|Erica.Sherrard@yum.com|3660c56f3ee04ac9a72608dac91373e4|2ba9001dd7f943a3a0986a927ac715ca|0|0|638043382639632622|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000|||&amp;sdata=/o9fI4tiDc9ZzKCVeIn8eRmCigUkLI1hvoi21rVwESs=&amp;reserved=0" target="_blank">Click here&nbsp;</a>to view the “Know Your Rights” poster and supplement and the Pay Transparency Policy Statement.</div>

Data Scientist (AI/ML Modeling, Forecasting & Algorithms)

Data Scientist

Bachelor's or Master's in a quantitative field; 2+ years in data science or ML; Python and SQL; ML model development and evaluation; strong communication.

Are you ready to make a real impact with your analytical expertise? Join our Finance &amp; Business Management Strategic Operational Data Intelligence team as an Analytics Solutions Senior Associate and help shape the future of our organization through innovative data solutions. You’ll lead strategic initiatives, collaborate with cross-functional teams, and deliver high-quality outcomes in a dynamic environment. We value hands-on, pragmatic professionals who communicate confidently, prioritize effectively, and foster an inclusive culture of continuous improvement.As a Senior&nbsp;Analytics Solutions Associate&nbsp;in our Finance &amp; Business Management Strategic Operational Data Intelligence team, you will support the delivery of impactful data solutions and contribute to strategic decision-making. You will balance structure and best practices with pragmatic approaches, ensuring high-quality outcomes. You communicate and negotiate confidently at all levels, prioritize effectively, and embrace a hands-on attitude to get things done. Together, we foster an inclusive environment where your contributions help shape our organization’s future.Job responsibilities<ul style="list-style-type: disc;"><li>Lead the delivery of current state documentation and data lineage capture.</li><li>Interpret data requirements into actionable plans and identify inconsistencies.</li><li>Apply best practice data governance and data quality controls under guidance.</li><li>Manage project delivery across borders and within matrix reporting structures.</li><li>Oversee data warehouse process models, including sourcing, loading, transformation, and extraction.</li><li>Utilize industry-standard data warehousing tools for ingestion, streaming, storage, and visualization.</li><li>Integrate data warehousing solutions within cloud platforms such as AWS Glue and AWS Lambda.</li><li>Collaborate with cross-functional teams to forge innovative analytics projects.</li><li>Communicate and negotiate effectively with stakeholders at all levels.</li><li>Prioritize tasks and manage multiple projects simultaneously.</li><li>Foster a culture of teamwork and continuous improvement.</li></ul> Required qualifications, capabilities, and skills<ul style="list-style-type: disc;"><li style="background-color: white; color: black; line-height: normal; margin-bottom: 6pt;">Bachelor’s degree in a quantitative discipline, or equivalent education and/or professional experience.</li><li style="background-color: white; color: black; line-height: normal; margin-bottom: 6pt;">Minimum 5 years of experience in business systems analysis or in designing and developing business applications.</li><li style="background-color: white; color: black; line-height: normal; margin-bottom: 6pt;">At least 3 years of hands-on experience with SQL and Python (or another programming language) in a professional setting.</li><li style="background-color: white; color: black; line-height: normal; margin-bottom: 6pt;">Some understanding of banking operations, ideally with expertise in payment processing.</li><li style="background-color: white; color: black; line-height: normal; margin-bottom: 6pt;">In-depth knowledge of database design and relational database concepts.</li><li style="background-color: white; color: black; line-height: normal; margin-bottom: 6pt;">Proven ability to deliver current state documentation and capture data lineage.</li><li style="background-color: white; color: black; line-height: normal; margin-bottom: 6pt;">A good understanding of best practices in data governance and data quality management.</li><li style="background-color: white; color: black; line-height: normal; margin-bottom: 6pt;">Experience of delivery skills, including managing projects within a matrix organization across borders and multiple regions.</li><li style="background-color: white; color: black; line-height: normal; margin-bottom: 6pt;">Practical knowledge of data warehouse process models, such as data sourcing, loading, transformation, and extraction, with experience using industry-standard data warehousing tools for ingestion, streaming, storage, and visualization.</li><li style="background-color: white; color: black; line-height: normal; margin-bottom: 6pt;">Familiarity with cloud-based data warehousing technologies (e.g., AWS Glue, AWS Lambda, Data Warehouse, Data Lake, Data Mesh).</li><li style="background-color: white; color: black; line-height: normal; margin-bottom: 6pt;">Exceptional analytical abilities and keen attention to detail. &nbsp;</li></ul>Preferred qualifications, capabilities, and skills<ul style="list-style-type: disc;"><li>Experience with large-scale data warehouses is advantageous.</li><li>Experience delivering within strategic front-to-back programs.</li><li>Some understanding of core metadata and data quality principles, data transfer, and profiling technologies.</li><li>Promote lean and agile software development lifecycle behaviors.</li><li>Broad financial services experience and an understanding of current banking industry challenges.</li></ul>&nbsp;To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase &amp; Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).<h3>About Company</h3><div>J.P. Morgan’s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.&nbsp;</div><h2>Company</h2><div><div>
 <div>
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 </div>
 <div>
 
 We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.&nbsp;
 <div>
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our&nbsp;<a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" target="_blank" rel="nofollow">FAQs</a>&nbsp;for more information about requesting an accommodation.
 JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans
 </div>
 </div>
</div></div>

Analytics Solutions - Senior Associate

Analytics Solutions

Bachelor’s degree in a quantitative field; 5+ years in business systems analysis or designing/developing business applications; 3+ years SQL and Python; banking operations knowledge; data governance and data quality experience.

Why USAA?At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.The OpportunityAs a dedicated Mid-Level Data Scientist, you will be using strategic insights, AI, and automation to empower our insurance business partners in protecting and serving our members. We are seeking a highly collaborative and adaptable technical contributor who will innovate solutions and re-engineer processes to fuel aggressive business growth and exceptional claims experiences. This critical role offers the opportunity to leverage data for strategic insight, solve complex challenges, and deliver game-changing value. If you are passionate about using data to make a real-world difference and help our members build a legacy and protect their most valuable assets, we want to hear from you.Translates business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA&#39;s tooling, expanding the company&#39;s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale.We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX or Phoenix, AZ. Relocation assistance is not available for this position.What you&#39;ll do:<ul><li>Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.</li><li>Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.</li><li>Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.</li><li>Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.</li><li>Composes technical documents for knowledge persistence, risk management, and technical review audiences.</li><li>Assesses business needs to propose/recommend analytical and modeling projects to add business value.</li><li>Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders.</li><li>Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.</li><li>Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.</li><li>Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer&#39;s vision and specifications while being consistent with modeling best practices and model risk management standards.</li><li>Maintains awareness of cutting-edge techniques.</li><li>Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.</li><li>Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.</li></ul>What you have:<ul><li>Bachelor&#39;s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.</li><li>4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master&#39;s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis.</li><li>2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.</li><li>2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.</li><li>Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).</li><li>Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.</li><li>Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.</li><li>Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.</li><li>Ability to assess regulatory implications and expectations of distinct modeling efforts.</li><li>Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.</li><li>Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors’ algorithms, DBSCAN, etc.</li></ul><ul><li>Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.</li></ul>What sets you apart:<ul><li>Business Impact-Driven Analytics: Extensive experience partnering with business subject matter experts to translate complex business problems into advanced analytical solutions. This involves critically evaluating approaches, translating technical findings into clear, business-oriented recommendations, and demonstrating a passion for driving the adoption of data-driven strategies that improve processes and create new, automated workflows.</li><li>End-to-End AI/ML Solution Delivery in Regulated Environments: Proven track record of collaborating with data scientists, data engineers, product manager, and IT to deliver AI/ML solutions to business partners. This includes a foundational understanding of Model Risk Management (MRM) and governance principles, essential for operating in highly regulated environments.</li><li>Software Engineering Rigor in Modeling: Demonstrated proficiency in software engineering best practices for data science, such as robust coding standards, package development and scripting, version control, and markdown-based documentation to allow for seamless collaboration with engineering teams for model deployment and productionization. We&#39;re looking for a strong understanding of bringing models from ideation through development and into production, utilizing non-notebook driven workflows for reproducibility. Experience in Python, Domino Data Labs, and Snowflake are preferred.</li><li>Expertise in Insurance and Customer Engagement: Experience in claims and/or marketing within property and casualty insurance, life insurance, health insurance, and/or annuities. This includes proven expertise in using analytics to drive marketing engagement and optimization, enhancing claims experiences, supporting call centers, and enhancing digital workflows and journeys.</li><li>Rigorous Model Validation and Experimentation: Experience in user acceptance testing, pilot testing, experimentation, and A/B testing to evaluate the value delivery of model solutions; experience with Bayesian analysis and/or event-driven simulation model development and their applications in a production environment.</li><li>US Military Experience: Military service or being a military spouse/domestic partner.</li></ul>Compensation range: The salary range for this position is: $114,080.00 - $218,030.00.USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.  Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.  USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Mid-Level Data Scientist

Bachelor's degree in a quantitative field or 4+ years experience; 4 years predictive analytics/data analysis plus 2 years ML; Python/R; SQL; work with structured/unstructured data; model development and collaboration.

Why USAA?At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.The OpportunityThe Bank AI/ML team is looking for candidates with backgrounds in model development for credit risk, marketing, or everyday banking.As a Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA’s tooling, expanding the company’s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale.This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.Relocation assistance is available for this position.What you&#39;ll do:<ul><li>Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.</li><li> Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.</li><li>Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.</li><li>Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.</li><li>Composes technical documents for knowledge persistence, risk management, and technical review audiences.</li><li>Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders.</li><li>Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.</li><li>Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.</li><li>Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer’s vision and specifications while being consistent with modeling best practices and model risk management standards.</li><li>Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.</li><li>Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.</li></ul>What you have:<ul><li>Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.</li><li>4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis.</li><li>2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.</li><li>2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.</li><li>Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).</li><li>Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.</li><li>Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.</li><li>Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.</li><li>Ability to assess regulatory implications and expectations of distinct modeling efforts.</li><li>Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.</li><li>Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.</li><li>Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.</li></ul>What sets you apart:<ul><li>Medium or large bank experience.</li><li>Strong working knowledge of Python and/or SAS.</li><li>Control partner collaboration experience.</li><li>Familiar with Model Risk Management, Model Governance, and Regulatory requirements.</li><li>US military experience through military service or a military spouse/domestic partner.</li></ul>Compensation range: The salary range for this position is: $114,080 - $218,030.USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.  Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.  USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Data Scientist (Mid-level) - Model Development

Bachelor’s degree in a quantitative field or 4+ years of related experience; 4 years in predictive analytics or data analysis, plus 2 years in modeling; strong Python/SAS, SQL, and data handling skills; able to communicate results to non-technical partners.

Quantitative Developer Jobs in Denison, TX, US

Quantitative Developer Jobs market signals in Denison, TX, US

Companies appearing in this market

Work location mix in visible results

Related browse hubs