Senior Data Scientist Advisor

Senior Data Scientist / Advisor

Location:Washington DC

Work Arrangement:Hybrid -3 days/week onsite required

Duration:Through 12/31/2026 with strong potential for extension into 2027
Interview Process:Video interview followed byin-person interview in Washington DC

Position Overview
We are seeking aSenior Data Scientist / Advisorwith strong experience infinancial forecasting credit risk stress testing econometrics and advanced statistical modeling.
The ideal candidate will combine strong hands-on technical capabilities inPython R and SQLwith a solid understanding of financial and credit-risk modeling. Experience withDFAST CCAR stress testing scenario analysis or similar financial forecasting frameworksis highly preferred.
This is a senior/advisory role requiring someone who can perform sophisticated quantitative analysis evaluate model results guide technical teams and communicate findings effectively to Finance and business stakeholders.

Key Responsibilities
Develop advanced mathematical statistical econometric and machine-learning models supportingfinancial forecasting and risk-management processes.
Performcredit-related analysisunder expected/base-case and stress scenarios.
Develop evaluate validate and interpret predictive and forecasting models.
Support financialstress testing scenario modeling risk measurement valuation and business-performance analysis.
Apply statistical modeling techniques from econometrics statistics machine learning computational science and data optimization.
Build predictive analytics capabilities and integrate statistical models and algorithms into business applications.
Research and evaluate model results and identify trends relationships risks and business implications.
Work closely with Finance business/product owners data engineers platform teams and other stakeholders.
Assess data availability quality modeling approaches and alternative analytical methods.
Provide technical direction and review the analytical/modeling work performed by other team members.
Develop effective data visualizations technical documentation and executive-level presentations.
Translate complex quantitative findings into actionable insights for both technical and non-technical stakeholders.

Required Qualifications
Bachelors degree inData Science Statistics Economics Econometrics Mathematics Computer Science Finance or related quantitative discipline.
Strong professional experience indata science quantitative analytics financial modeling or risk modeling.
Advanced programming experience with:
Python
R
SQL
Strong experience developing and evaluating statistical econometric or predictive models.
Experience analyzing large datasets to identify trends relationships and business insights.
Strong understanding offinancial forecasting and/or credit-risk analysis.
Experience with financial scenario analysis or stress-testing methodologies.
Strong analytical and problem-solving capabilities.
Ability to review and provide direction on sophisticated quantitative analysis.
Excellent stakeholder-management and communication skills.
Ability to present complex analytical concepts clearly to senior business and Finance stakeholders.
Must be able to workonsite in Washington DC three days per week.
Must be available for anin-person interview in Washington DC.

Highly Preferred Qualifications
Masters degree or PhD inData Science Applied Economics Econometrics Statistics Mathematics Finance or a related quantitative discipline.
Direct experience withDFAST and/or CCAR stress testing.
Experience withcredit-risk modeling financial forecasting expected-loss modeling scenario analysis or financial valuation.
Prior experience withinbanking mortgage finance financial services credit risk or financial regulatory environments.
Experience leading or advising teams of data scientists quantitative analysts or modelers.
Familiarity with advancedmachine-learning and NLP techniques.
Technology Stack
Core:
Python
R
SQL

Additional Tools:
Tableau
DBeaver
Bitbucket

Required Skills:

PYTHONRCOMPUTATIONAL SCIENCEMATHEMATICSMODELINGSCENARIO ANALYSISMACHINE LEARNINGSQLSTATISTICSRISK MEASUREMENT