Senior Financial Engineer

Overview:

Job Purpose

The Senior Financial Engineer will play a critical role in developing and enhancing solutions on our analytics platform to support growth in fixed income and equity analytics. This position requires advanced technical expertise and strong analytical skills. The data analysis efforts are primarily focused on analyzing quantitative analytic measures and the supporting reference data used to derive those calculations. The successful candidate will collaborate with Product Development, Data Analysis, Quantitative Research, IT, QA, and Operations teams to ensure high-quality data delivery.

Responsibilities

Ensure accuracy and integrity of quantitative measures and reference data.

Oversee and validate critical data production processes, ensuring timely and accurate client deliverables.

Research and respond to client data inquiries and challenges.

Establish and monitor performance metrics for version upgrades and enhancements.

Produce historical analysis that highlights current analytic trends for different asset types.

Create and maintain documentation for workflows, data requirements, and DQA test cases.

Recommend and implement process improvements to enhance data analysis and operational efficiency.

Knowledge and Experience

Master’s degree in Mathematics, Financial Engineering, Mathematical Finance, Computer Science or Finance

2+ years' experience in related field

Strong understanding of fixed income mathematics with exposure to equity, index, and derivative instruments

Excellent Quantitative Analytic Skills

Proficiency in SQL and experience with data analysis tools such as Python, R, or MATLAB

Excellent communication skills for articulating issues, clarifying requirements, and presenting findings

Detail oriented and good organization skills

Self-motivated and accountable for delivering accurate, timely results

Collaborative team player with flexibility to adapt to changing priorities and schedules

Familiarity with software development lifecycle (SDLC)

Preferred Knowledge and Experience

Passed the CFA Level II or higher

Experience in AI-assisted development tools such as GitHub, Copilot, Cursor, or Claude

Exposure to cloud platforms and services

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