Explore 2 quantitative analytics jobs from 2 hiring companies in Reno, NV, US. Filter by remote, salary, experience, and company, then open any listing to apply.

quantitative-analytics

Quantitative Analytics

Sparks

Sun Valley

Spanish Springs

Carson City

Truckee

Lemmon Valley

Cold Springs

Fernley

Incline Village

Dayton

South Lake Tahoe

Gardnerville Ranchos

Golden Valley

Johnson Lane

Mogul

Indian Hills

Silver Springs

Kings Beach

Verdi

Quantitative Analytics Jobs

Fervo Energy

Socure

Hybrid

Remote

DescriptionFervo Energy is advancing the next generation of geothermal energy to deliver 24/7 carbon-free power at scale. We combine subsurface engineering, horizontal drilling, and real-time data systems to unlock a clean, reliable energy resource built for the demands of modern power markets.&nbsp; As Fervo's asset portfolio grows and market participation becomes more complex, we are building the analytical infrastructure to optimize revenue, track performance, and support high-stakes commercial decisions with rigor. This role is the analytical engine behind that work.&nbsp; The Senior Analyst, Asset &amp; Portfolio Optimization owns the financial performance analytics for Fervo's operating and contracted assets. You will build and maintain the models, forecasts, and dashboards that connect asset performance, market prices, operating constraints, and contract terms into a clear view of P&amp;L — and translate that view into actionable recommendations for Asset Management, Finance, and commercial leadership.&nbsp; This is a builder role that requires comfort working from first principles with incomplete data. You will support budgeting, long-range planning, scenario analysis, and bid strategy while partnering closely with Plant Operations and the Geoblock Factory to ensure physical asset realities are accurately reflected in financial models. The expectation is that the tools and processes you build scale with the portfolio.&nbsp;RequirementsResponsibilitiesRevenue Forecasting &amp; P&amp;L Analytics&nbsp;<ul><li>Build and maintain asset-level and portfolio-level revenue forecasts incorporating price, volume, outage, contract, and asset performance assumptions to optimize revenue and margin.</li><li>Track actual performance versus forecast, identify variance drivers, and recommend actions to improve revenue realization and unit economics.</li><li>Support annual budgeting, long-range planning, and P&amp;L optimization processes in partnership with Finance and Asset Management leadership.&nbsp;</li></ul>Scenario Analysis &amp; Optimization&nbsp;<ul><li>Develop scenario analysis across market prices, production profiles, testing schedules, outages, curtailment, contract structures, RA/RECs, and hedging recommendations for contracted and uncontracted assets.</li><li>Provide analytical inputs into bid strategy, market integration decisions, contract renegotiations, and asset performance recommendations.&nbsp;</li><li>Partner with Plant Operations and the Geoblock Factory to ensure physical asset constraints and performance characteristics are accurately reflected in optimization analyses.&nbsp;</li></ul>Reporting &amp; Data Infrastructure&nbsp;<ul><li>Build and maintain asset performance dashboards, revenue trackers, and financial reporting inputs that give leadership real-time visibility into portfolio performance.&nbsp;</li><li>Support tax equity, debt, regulatory, and compliance reporting by ensuring data consistency across operations, market results, contracts, and financial outputs.</li><li>Build repeatable models and scalable processes, including AI workstreams, that grow with the asset portfolio without proportional increases in analytical overhead.&nbsp;</li><li>Build and maintain agile reporting tools and dashboard to support project coordination and reporting</li><li>Support the development of tools and process to automate PPA contract management and reporting&nbsp;</li></ul>QualificationsRequired<ul><li>Bachelor's degree in Finance, Economics, Engineering, Mathematics, Statistics, or a related quantitative field</li><li>3+ years of experience in financial, economic, or data analysis</li><li>Strong financial modeling and scenario analysis skills, with advanced proficiency in Excel and comfort building complex, multi-variable models from first principles</li><li>Demonstrated ability to translate operational and market data into P&amp;L, revenue, and margin analytics that drive decision support</li><li>Experience working with incomplete or ambiguous data, structuring problems independently, and refining models iteratively over time</li><li>Strong written and verbal communication skills, with the ability to present analytical findings clearly to non-technical stakeholders</li><li>Comfort operating in a fast-moving environment with competing priorities and evolving data inputs&nbsp;</li></ul>Preferred&nbsp;<ul><li>Master's degree or MBA in a relevant field</li><li>Experience in power markets, renewables, infrastructure, trading analytics, FP&amp;A, or commercial asset management</li><li>Proficiency in Python or other advanced data and analytics tools</li><li>Experience building or working with AI-assisted analytical workflows</li><li>Familiarity with ISO/RTO market structures, resource adequacy, RECs, or energy contract mechanics Prior experience in a role that required building scalable models or processes in a high-growth or asset-heavy environment&nbsp;</li></ul>LocationFervo Energy is headquartered in Houston, TX with growing offices in Oakland, CA, Golden, CO, Reno, NV, and Salt Lake City, UT. This position will be eligible for some hybrid work flexibility, but regular in-office presence at Fervo's Houston office will be required. Some travel is required for this position.&nbsp;

Senior Analyst, Asset & Portfolio Optimization

Analyst

Bachelor's in a quantitative field; 3+ years financial/data analysis; strong modeling; ability to work with incomplete data; clear communication; fast-paced environment.

<h2>Why Socure?</h2>Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.<div><div style="left:0;width:100%;height:0;position:relative;padding-bottom:56.338%"><iframe src="https://embedded-media.ashbyhq.com/embed/f47d1f69-9ec3-4b39-a4ac-f777b1c17492/868e13ef-833e-4d43-8789-7af398acc5d8" style="top:0;left:0;width:100%;height:100%;position:absolute;border:0" allowfullscreen scrolling="no" allow="encrypted-media *; picture-in-picture *;" sandbox="allow-scripts allow-same-origin allow-presentation"></iframe></div></div><h2>About the Role</h2>As a Data Scientist II at Socure, you will occupy a high-impact, "bridge" role between our core Watchlist R&amp;D and the Data Science Customer Applications (DSCA) teams. Your mission is to accelerate the transition from model development to real-world deployment by building the automated analysis frameworks and monitoring systems that drive customer success. You won’t just build models; you will create the technical connective tissue—including high-performance pipelines and custom dashboards—that allows Socure to onboard clients faster, resolve complex issues effectively, and continuously improve our models through a closed-loop feedback system.<h2>What You'll Do</h2><ul style="min-height:1.5em"><li>Develop Analysis Frameworks: Design and maintain scalable frameworks that allow the DSCA team to perform fast, effective client resolutions during POCs, onboarding, and for existing production customers.</li><li>Bridge R&amp;D and Operations: Act as the primary technical liaison between Watchlist DS and DSCA, translating complex model behaviors into actionable insights for customer-facing teams.</li><li>Build Monitoring &amp; Alerting Systems: Create and manage mission-critical dashboards and real-time alert systems to monitor model performance, identify drift, and surface false positives/negatives at a sub-segment level.</li><li>Drive Closed-Loop Model Improvement: Systematically monitor customer production data and POC findings to integrate real-world feedback back into the core model development cycle.</li><li>Enhance In-House Pipelines: Build and optimize end-to-end data pipelines (using Spark and Airflow) that support custom reporting and automated performance tracking for Watchlist POCs.</li><li>Collaborate Cross-Functionally: Work closely with Product, Engineering, and Compliance to translate customer needs and regulatory requirements into measurable machine-learning objectives.</li></ul><h2>What You Bring</h2><ul style="min-height:1.5em"><li>Education: Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or similar) with 3–5 years of experience —or— a Master’s/Ph.D. with 1–3 years of experience.</li><li>Technical Proficiency: Strong programming skills in Python and SQL, with hands-on experience in Spark and Databricks.</li><li>Pipeline &amp; Infrastructure: Experience with Airflow for orchestration and a working knowledge of Infrastructure as Code (e.g., Terraform) and AWS environments.</li><li>Analytical Rigor: Solid grasp of descriptive statistics, hypothesis testing, and model evaluation metrics (Precision, Recall, F-beta, ROC-AUC).</li><li>ML &amp; Data Engineering: Practical experience in data curation, labeling strategies, and building automated data-quality validation checks.</li><li>Communication &amp; Impact: Excellent ability to communicate complex technical findings to both R&amp;D peers and non-technical stakeholders.</li><li>Passion for the Domain: A strong interest in NLP, LLMs, and staying ahead of the curve in compliance and regulatory technology.</li></ul><h3>Preferred Qualifications</h3><ul style="min-height:1.5em"><li>Experience with Elasticsearch and real-time data indexing.</li><li>Background in AML (Anti-Money Laundering), Sanctions Screening, or Identity Fraud prevention.</li><li>Prior experience in a "Customer Data Science" or "Solutions DS" role where you built tools for internal or external stakeholders.</li></ul>Please note that sponsorship is not available at this time.Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us!<a target="_blank" rel="noopener" href="https://www.youtube.com/c/Socure">YouTube</a> | <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/socure/">LinkedIn</a> | <a target="_blank" rel="noopener" href="https://x.com/socureme">X (Twitter)</a> | <a target="_blank" rel="noopener" href="https://www.facebook.com/socure/">Facebook</a>

Data Scientist II - Global Watchlist 

Data Scientist II

Bachelor’s in a quantitative field with 3–5 years experience, or Master’s/PhD with 1–3 years; strong Python and SQL; experience with Spark and Databricks; Airflow; Terraform; AWS; solid statistics and ML/data engineering skills; good communication; interest in NLP and compliance tech.

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Quantitative Analytics Jobs in Reno, NV, US

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