Position Details
About this role
This role involves developing and validating quantitative analytic solutions on an analytics platform, focusing on fixed income and equity data, ensuring data integrity and supporting client deliverables.
Key Responsibilities
- Validate and ensure accuracy of quantitative measures
- Oversee data production processes
- Research and respond to client data inquiries
- Create documentation for workflows
- Implement process improvements
Technical Overview
The technical environment includes SQL, Python, R, MATLAB, and financial reference data workflows, with a focus on data accuracy and process improvement.
Ideal Candidate
The ideal candidate is a senior financial engineer with strong expertise in quantitative analysis, data validation, and experience with financial reference data. They should have advanced skills in SQL, Python, R, and MATLAB, and hold a CFA Level II or higher.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Required
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
No experience with SQL or data analysis tools, Lack of CFA Level II certification, No background in financial engineering, No experience with reference data workflows
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