Financial Risk Modeler

*** THIS IS A DIRECT PLACEMENT, ONSITE ROLE AND NOT REMOTE ***

Our Client is seeking a Senior Technology & Risk engineer who will be focused on delivering high‑quality technology solutions supporting Market Risk, Credit Risk, and enterprise risk reporting. The individual will work closely with the Risk Management organization, Front Office, and global technology teams and must deeply understand how risk metrics are produced, validated, and consumed, and be able to analyze, explain, and troubleshoot risk number movements.

• Serve as the Senior technical partner for Market Risk and Credit Risk teams.
• Perform hands‑on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows.
• Work with Risk Management to understand risk measures, how they are calculated, and the business impact of risk number movements.
• Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery.
• Validate and troubleshoot risk calculations using market data, pricing inputs, and risk factor mappings.
• Support risk analytics for fixed‑income, credit, derivatives, structured products, and loan assets.
• Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls.
• Drive improvements in automation, data validation, transparency, and modernization of risk processes.

• Minimal 5+ years of hands‑on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments.
• Strong understanding of risk metrics including DV01, VaR, stress testing, scenario analysis, and credit exposure concepts.
• Familiarity with risk across fixed‑income, credit, derivatives, loans, and structured products.
• Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization.
• Python experience for data processing, analytics, and automation.
• Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems.
• Hands‑on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows.
• Bachelor's or master's degree in computer science, Engineering, Mathematics, or a related quantitative discipline.
• Experience working with cloud platforms such as Azure or Snowflake.

To be considered, email resumes in the MS Word format with annual salary requirements to work onsite in Durham, NC. Selected candidate must be willing to submit to a pre‑employment, post‑offer background check and drug test.

This is a Permanent position based out of Durham, NC.

The pay range for this position is $ - $/yr. 401k match, Health Insurance, PTO. This position is also eligible for a discretionary annual bonus based on personal, team, and firm performance.

This is a hybrid position in Durham, NC.

This position is anticipated to close on Mar 18, 2026.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.