Finance Data Science Advisor – Modeling & Analytics SME

SES; Washington (District of Columbia); On-site; USD 140,000 - 190,000; Full time

Job summary

SES in Washington, DC, is seeking a Finance Data Science Advisor to apply advanced analytics to CECL and DFAST forecasting. The role blends economics, statistics, and computational methods to support risk measurement and financial valuation.

You will drive modeling and visualization, collaborating with data engineers and stakeholders to deliver actionable insights. The position requires 6+ years of experience and a strong background in ML/NLP, forecasting, and cross-functional leadership.

Qualifications

• 6 years of experience in finance data science or related field.
• Masters degree in Data Science, Applied Economics, Statistics, or related field.
• Familiarity with ML and NLP techniques.
• Forecasting and stress testing knowledge (DFAST).
• Strong ability to manage technical analysis and lead a team.

Responsibilities

• Use advanced tools to create algorithms for CECL and DFAST forecasting.
• Research and evaluate model results; perform credit analyses for adverse scenarios.
• Coordinate with product, data engineers, and platform teams to align business needs.
• Apply statistical modeling across CS, econometrics, data visualization disciplines.
• Build predictive analytics within the team and integrate data with models.
• Innovate through industry practices in research, testing, and deployment.
• Oversee design and build of new modeling applications for risk and valuation.
• Communicate complex ideas via visualizations and documentation for non-technical partners.

Skills

R programming

Tableau

Python

SQL

Bitbucket

Education

Bachelor degree or equivalent

Masters degree in Data Science or related

Tools

DBeaver SQL client

Job description

SES in Washington, DC, is seeking a Finance Data Science Advisor to apply advanced analytics to CECL and DFAST forecasting. The role blends economics, statistics, and computational methods to support risk measurement and financial valuation.

You will drive modeling and visualization, collaborating with data engineers and stakeholders to deliver actionable insights. The position requires 6+ years of experience and a strong background in ML/NLP, forecasting, and cross-functional leadership.