Financial Engineer

Financial Engineer Positions – Entry & Lead Levels Available

Location: Atlanta, Georgia (Hybrid – 4 days a week in office)

Compensation: $100K - $150K 20% Bonus

Sponsorship Available

Relocation: Small Lump Sum

Experience Required

Entry Level: 0-2 years

Lead Level: 7-10 years

Job Overview

Develop innovative solutions using our cutting-edge platform to enhance fixed income & equity analytics. Work with Product Development, Data Analysis, Quantitative Research, IT, Program Management, & Operations, ensuring the delivery of high-quality data & analytics for our clients. The position involves both developing & supporting large-scale data processing systems for high-performance computing in analytics.

Key Responsibilities

• Lead Data Quality Analysis: Oversee the development of features related to data quality for ongoing projects.
• Product Design Collaboration: Provide expert input during the design & development of new product features.
• Data Quality Audits: Take ownership of ensuring the accuracy & timeliness of production data to meet customer needs.
• Client Support: Investigate & resolve client data inquiries & issues.
• Performance Metrics: Establish baseline metrics to track the performance of software upgrades & new enhancements.
• Analytic Trends Analysis: Conduct historical analysis to identify trends across various asset types.
• Process Improvements: Suggest & implement enhancements to fixed income & equity data analysis workflows.
• Documentation: Create detailed documentation for data operation procedures, new data specifications, & test cases for quality assurance.
• Team Leadership: Supervise & mentor junior Financial Engineers, including assigning tasks & conducting reviews.
  
  

Knowledge & Experience

• Educational Requirements: Master’s Degree in Mathematics, Financial Engineering, Computer Science, Finance, or related fields.
• Fixed Income Expertise: Extensive knowledge of fixed income mathematics.
• Quantitative Analysis Skills: Strong skills in quantitative analysis & financial modeling.
• Technical Proficiency: Proficiency with SQL & other data mining technologies such as Python, R, or MATLAB.
• Communication: Excellent written & verbal communication skills to convey complex problems & clarify project requirements.
• Attention to Detail: Strong organizational skills & attention to detail to ensure accurate, high-quality deliverables.
• Team Player: Flexible, collaborative, & willing to contribute within a team environment.
• Self-Motivated: Able to work independently with a disciplined approach to achieving timely, accurate results.
• Software Development Lifecycle (SDLC): Good understanding of the SDLC & its application in data-driven environments.
  
  

Must-Have Skills

• CFA Level 1
• Python
• SQL
  
  

Nice to Have

• CFA Level 2 or 3