Analyst, Quantitative Research

Obra Capital, Inc. • New York, NY

46d • $100,000 - $130,000

About The Position

Obra Capital is seeking a Quantitative Research Analyst 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 the structured credit market. The instruments will include structured credit instruments such as ABS, CMBS, RMBS securities in addition to being instrumental in building our CLO platform.

Requirements

• A bachelor's degree with a strong academic background.
• 1-4 years of prior work experience in a quantitative risk or analytic role.
• Advanced knowledge of major asset classes with focus on fixed income and credit markets.
• Strong programming skills in Python, R, C++ or Java.
• Strong interest in asset management and investing and a desire to learn, contribute and grow with the businesses.
• Exceptionally detail oriented and curious.
• Resourceful team player with positive attitude and a strong work ethic.
• Ability to deliver on short timelines when needed.

Nice To Haves

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

Responsibilities

• Develop and implement mathematical models to analyze and value structured credit products.
• Develop key credit portfolio analysis tools, such as an optimization engine that takes into account CLO test requirements, an investment recommendation / relative value generator, and data scraping processes that would be utilized for purposes of identifying changes in credit quality and portfolio construction, among many other projects.
• Implement dynamic asset-liability models that can simulate various asset and liability scenarios and take into account insurance risk ratings and accounting.
• 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 risk capabilities.
• Providing quantitative support in decision making processes and contribute to the overall investment strategy.
• Working with Portfolio Mangers to rebalance portfolios based on risk tolerance, market conditions, and investment objectives.
• Test and validate quantitative models to ensure their accuracy and reliability.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 51-100 employees