Senior Associate, Quantitative Research

Obra Capital is seeking a Senior Associate, Quantitative Research to join our growing Leveraged Finance team. This position will play a crucial role in developing and implementing quantitative models and tools to support the Obra’s investment strategies in leveraged loans/CLO management and high yield bonds. The team is seeking someone to help develop key analytical infrastructure and portfolio tools that would be combined with fundamental analysis to help improve portfolio management.

Responsibilities:

Develop and implement mathematical models to analyze and value credit products.

Develop key credit portfolio analysis tools, such as an optimization engine that takes into account CLO test requirements and fundamental ratings, an investment recommendation / relative value generator, tools that bring big data into the credit evaluation process and analysis tools that utilize macroeconomic and company specific data to help project future earnings.

Collaborate with credit research team to develop and improve upon models.

Analyze large sets of financial data to identify patterns, trends and insights in order to inform investment decisions. This includes working with market data, credit ratings and other proprietary datasets.

Develop and run financial models using Python, R, C++ or other programming languages to ensure portfolio testing compliance.

Leveraging quantitative tools, financial models and technology to enhance portfolio risk measurement.

Providing quantitative support in decision making processes and contribute to the overall investment strategy.

Working with Portfolio Managers to rebalance portfolios based on risk tolerance, market conditions, and investment objectives.

Test and validate quantitative models to ensure their accuracy and reliability.

Qualifications:

6-10 years of prior work experience in a quantitative risk or analytic role at a sell-side or buy-side firm.

A bachelor's degree with a strong academic background.

Master's or PhD degree in financial mathematics, computer science, engineering, operations research, mathematics, physics or other quantitative disciplines preferred.

Advanced knowledge high yield and leverage loans markets

Experience with CLOs strongly preferred

Strong programming skills in Python, R, C++ or Java.

Experience with Intex, Bloomberg and rating agency models.

Exceptionally detail oriented and curious.

Resourceful team player with positive attitude and a strong work ethic.

Ability to deliver on short timelines when needed.

In accordance with New York State Pay Transparency Law the listed base salary for this position is $150,000 to $200,000 per year. Base salary does not include additional compensation such as cash bonuses based on individual and fund performance. Salary offers are determined by a variety of factors including candidate experience and geographic location.