Quantitative/Data Developer | Fixed Income | Experienced Hire

About the role

The Quantitative/Data Developer will be responsible for developing and maintaining quantitative models and data pipelines to support fixed income investment strategies. This role requires expertise in statistical programming languages such as R or Python, and knowledge of financial markets.

Responsibilities

• Develop and maintain quantitative models using statistical programming languages like R or Python
• Design and implement data pipelines to process large datasets efficiently
• Collaborate with quantitative analysts and portfolio managers to refine and validate models
• Stay updated on advancements in quantitative finance and machine learning

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• At least 5 years of relevant work experience in quantitative modeling or data analysis
• Proficiency in R or Python, with experience in data manipulation and statistical analysis
• Experience with SQL and database management systems
• Strong problem-solving skills and ability to work independently and as part of a team

Qualifications

• Knowledge of financial markets and instruments
• Experience with Bloomberg, FactSet, or similar financial data platforms
• Understanding of risk management concepts and techniques

Skills

• Statistical programming (R, Python)
• Data analysis and visualization
• Database management and SQL
• Financial modeling and risk management
• Collaboration and communication skills

Benefits

• Competitive salary commensurate with experience
• Flexible work schedule
• Health insurance benefits
• 401(k) retirement plan

Pay

Commensurate with experience

Schedule

Immediate start