Financial Engineer - Quantitative Analytics - Banking/Financial Services

KEY RESPONSIBILITIES:

- Work with Quant, Risk and Investment teams to understand quantitative models, analytics and business requirements.

- Support Fixed Income and structured-product analytics, including pricing, risk and cash-flow analytics.

- Build wrappers, services, APIs and integrations around quantitative/risk models and analytical platforms.

- Analyze and explain changes or differences in risk, performance and attribution results.

- Validate input and outputs for analytics models against historical and computed data to ensure accuracy and robustness.

- Acquire, clean, and analyze large-scale financial datasets from multiple sources.

- Build data pipelines for real-time and batch processing of market and reference data.

- Investigate breaks across positions, market data, reference data, cash flows, model inputs and analytics.

- Develop functional and statistical data/analytics validation checks and support root cause analysis.

- Collaborate with engineering teams to productionize quantitative solutions and data pipelines.

REQUIRED SKILLS & EXPERIENCE:

- 5+ years in Financial Engineering, Quantitative Analytics, Risk Analytics, FES, Quant Development or Investment Analytics.

- Strong experience working directly with Quant teams, Risk Managers and/or Portfolio Managers.

- Strong Python and SQL skills; experience building production-quality analytical solutions.

- Strong understanding of Fixed Income and risk analytics.

- Ability to understand why risk or attribution numbers change and explain the drivers to business stakeholders.

- Understanding of the trade lifecycle through risk and attribution.

Total Experience: 10 - 15 years