Explore 6 quantitative developer jobs from 1 hiring companies in Canton, TX, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Quantitative Developer Jobs

Goldman Sachs

Onsite

Asset &amp; Wealth Management –Analyst Quantitative Strategist in PWM Portfolio Analytics:
Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will use your training in mathematics, programming, and logical thinking to construct quantitative models that drive our success in global financial markets. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
As a strategist on our portfolio analytics team within our premier Goldman Sachs Private Wealth Management business, you will collaborate closely with financial professionals in the PWM business to combine quantitative techniques and industry knowledge to help design and refine investment strategies tailored for our PWM clients. You will be expected to develop a deep understanding of a wide range of financial products.
Responsibilities include:
<ul>
 <li>Working closely with wealth management professionals to design and create client reporting tools</li>
 <li>Working with senior leadership on business analytics and marketing efforts</li>
 <li>Providing backtests, risk analytics, and other analyses of PWM’s investment strategies</li>
 <li>Developing simulations to quantify benefits of PWM strategies and help drive client engagement</li>
 <li>Developing standardized &amp; scalable client reporting for an extensive client base, along with customized and bespoke analytics for the division’s largest and most sophisticated clients</li>
 <li>Building and maintaining infrastructure of Strategists’ analytical systems in a resource efficient manner</li>
</ul>
&nbsp;About Goldman Sachs PWM:
Goldman Sachs Private Wealth Management (PWM) is a world-class provider of wealth management solutions for high-net-worth individuals, their families, and foundations. Our PWM advisors help clients manage their financial wealth including providing access to innovative investment ideas and opportunities, developing customized investment strategies, and offering a full array of wealth management services.
&nbsp;Qualifications:
<ul>
 <li>Bachelor or Masters in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering</li>
 <li>Programming and mathematical skills are required</li>
 <li>Interest and knowledge of the financial markets. Keen to understand all facets of Private Wealth Management business.</li>
 <li>Intelligence, creativity, and problem-solving skills</li>
 <li>Great communication skills (written and verbal)</li>
 <li>A self-starter, should have ability to work independently as well as thrive in a team environment</li>
</ul>
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at&nbsp;<a href="http://gs.com/careers" target="_blank">GS.com/careers</a>.&nbsp;
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:&nbsp;<a href="https://www.goldmansachs.com/careers/footer/disability-statement.html%C2%A9" target="_blank">https://www.goldmansachs.com/careers/footer/disability-statement.html©</a>
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Asset & Wealth Management - Quantitative Engineer - Analyst - Dallas

Quantitative Engineer

Bachelor’s or Master’s in a quantitative/engineering field; programming and math skills; interest in financial markets; strong problem-solving and communication skills; ability to work independently and in a team.

<div style="font-style:normal; font-weight:400">
 <div style="margin-right:0px; padding-right:40px">
 Job Overview:&nbsp;
 The Quantitative Engineer will be responsible for the design, development, and implementation of quantitative models and algorithms for a financial services company. This individual will work closely with traders, portfolio managers, and other stakeholders to streamline reporting identify areas where quantitative analysis can provide insights and support decision-making.&nbsp;
 &nbsp;
 Key Responsibilities:
 <ul>
 <li>Coverage all aspects of private business, with focus on validation, streamlining and reporting for illiquid and semi-liquid funds</li>
 <li>Develop and implement quantitative models and algorithms to support trading and investment strategies</li>
 <li>Conduct statistical and mathematical analysis of financial data to identify patterns and trends</li>
 <li>Collaborate with traders, portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making</li>
 <li>Communicate results and findings to stakeholders in a clear and concise manner</li>
 <li>Stay current with industry developments and new technologies</li>
 </ul>
 Qualifications:
 <ul>
 <li>Advanced degree in a related field such as Mathematics, Physics, Computer Science, Financial Engineering or a related field.</li>
 <li>Strong programming skills in at least one language such as Python, C++ or Java</li>
 <li>Strong understanding of mathematical and statistical concepts, especially in finance</li>
 <li>Strong problem-solving skills and the ability to think critically</li>
 <li>Excellent communication skills and the ability to work well in a team environment</li>
 <li>Experience and interest in financial markets, risk management and portfolio management</li>
 </ul>
 Experience:
 <ul>
 <li>Minimum of 2+ years of experience in a quantitative role in a financial services company</li>
 <li>Background in equity or credit preferred</li>
 <li>Full stack development or Secdb/Slang experience preferred</li>
 </ul>
 </div>
</div>
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</div>
<div style="font-style:normal; font-weight:400">
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</div>
<div style="font-style:normal; font-weight:400">
 ABOUT GOLDMAN SACHS
</div>
<div style="font-style:normal; font-weight:400">
 &nbsp;
</div>
<div style="font-style:normal; font-weight:400">
 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.&nbsp; 
 
 &nbsp;
</div>
<div style="font-style:normal; font-weight:400">
 We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.&nbsp;
</div>
<div style="font-style:normal; font-weight:400">
 &nbsp;
</div>
<div style="font-style:normal; font-weight:400">
 We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html 
 
 &nbsp;
</div>
<div style="font-style:normal; font-weight:400">
 © The Goldman Sachs Group, Inc., 2023. All rights reserved.
</div>
<div style="font-style:normal; font-weight:400">
 Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
</div>

Asset & Wealth Management - Quantitative Engineering - Associate - Dallas

Advanced degree in Mathematics, Physics, Computer Science, Financial Engineering, or related field; strong Python/C++/Java; finance math knowledge; 2+ years in a quantitative role; strong communication and teamwork.

Asset & Wealth Management

About Goldman Sachs Wealth Management
Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data, and design.Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.&nbsp;
Responsibilities
As a strategist on our PWM Risk Strats team, you will work&nbsp;closely with various teams including risk management and fraud strategy.&nbsp;You will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability.
Responsibilities include:
<ul>
 <li>Developing and deploying ML models for fraud and anomaly detection as well as business workflows enhancement</li>
 <li>Delivering risk metrics and quantitative analytics for financial and non-financial risks across wealth management</li>
 <li>Develop AI-led solutions to improve efficiency and accuracy in risk management.</li>
 <li>Building and maintaining robust and systematic risk management tools and reporting</li>
 <li>Collaborating on the design of new and existing strategies to address clients’ investment goals.</li>
 <li>Developing and maintaining risk management and portfolio analysis tools across multiple asset classes for senior management and portfolio managers.</li>
 <li>Building and maintaining infrastructure of Strategists’ analytical systems.</li>
</ul>
Basic Qualifications
<ul>
 <li>Bachelor, Masters or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering</li>
 <li>1-3 years of experience in the job offered or related quantitative financial modeling and software development positions</li>
 <li>Programming and mathematical skills are required</li>
 <li>Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences&nbsp;</li>
 <li>A self-starter, should have ability to work independently as well as thrive in a team environment</li>
 <li>Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus</li>
 <li>Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark</li>
 <li>Experience with prompt engineering, working with LLM models, and MCP.</li>
 <li>Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL</li>
</ul>
Preferred Qualifications
<ul>
 <li>Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus</li>
 <li>Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark</li>
 <li>Experience with prompt engineering, working with LLM models, and MCP.</li>
 <li>Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL</li>
</ul>
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.&nbsp;
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.&nbsp;
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2021. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Asset & Wealth Management - Quantitative Strategist - Associate - Dallas

Quantitative Strategist

Bachelor to PhD in quantitative/engineering field; 1-3 years in quantitative modeling or software development; strong programming and ML knowledge.

Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.&nbsp;
Responsibilities
As a strategist on our PWM Risk Strats team, you will work&nbsp;closely with various teams including risk management and fraud strategy.&nbsp;You will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability.
Responsibilities include:
<ul>
 <li>Developing and deploying ML models for fraud and anomaly detection as well as business workflows enhancement</li>
 <li>Delivering risk metrics and quantitative analytics for financial and non-financial risks across wealth management</li>
 <li>Develop AI-led solutions to improve efficiency and accuracy in risk management.</li>
 <li>Building and maintaining robust and systematic risk management tools and reporting</li>
 <li>Collaborating on the design of new and existing strategies to address clients’ investment goals.</li>
 <li>Developing and maintaining risk management and portfolio analysis tools across multiple asset classes for senior management and portfolio managers.</li>
 <li>Building and maintaining infrastructure of Strategists’ analytical systems.</li>
</ul>
&nbsp;
About Goldman Sachs Wealth Management
Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data, and design.
Basic Qualifications
<ul>
 <li>Bachelor, Masters or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering</li>
 <li>1-3 years of experience in the job offered or related quantitative financial modeling and software development positions</li>
 <li>Programming and mathematical skills are required</li>
 <li>Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences&nbsp;</li>
 <li>A self-starter, should have ability to work independently as well as thrive in a team environment</li>
 <li>Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus</li>
 <li>Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark</li>
 <li>Experience with prompt engineering, working with LLM models, and MCP.</li>
 <li>Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL</li>
</ul>
Preferred Qualifications
<ul>
 <li>Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus</li>
 <li>Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark</li>
 <li>Experience with prompt engineering, working with LLM models, and MCP.</li>
 <li>Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL</li>
</ul>
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at&nbsp;<a href="http://gs.com/careers" target="_blank" rel="nofollow">GS.com/careers</a>.&nbsp;
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:&nbsp;<a href="https://www.goldmansachs.com/careers/footer/disability-statement.html%C2%A9" target="_blank" rel="nofollow">https://www.goldmansachs.com/careers/footer/disability-statement.html©</a>
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Asset & Wealth Management - Quantitative Strategist - Analyst - Dallas

Bachelor/Masters/PhD in quantitative/engineering field; 1-3 years in quantitative modeling/software development; Python/Spark experience; ML knowledge.

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