Apply on Employer Site

Obra Capital · 1 month ago

Senior Associate, Quantitative Research

New York, NY, US

Full-time

Onsite

Senior Level

$150K/yr - $200K/yr

6+ years exp

Obra Capital, Inc. is a specialized alternative asset management firm that provides investment products and solutions across various sectors. They are seeking a Senior Associate, Quantitative Research to develop and implement quantitative models and tools that support investment strategies in leveraged loans and high yield bonds.

Asset ManagementCreditFinancial ServicesInsurance

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

Qualification

Quantitative modelingPythonRC++High yield loansCLO experienceIntexBloombergDetail orientedTeam playerPositive attitudeWork ethic

Required

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

Advanced knowledge high yield and leverage loans markets

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

Exceptionally detail oriented and curious

Resourceful team player with positive attitude and a strong work ethic

Ability to deliver on short timelines when needed

Preferred

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

Experience with CLOs

Experience with Intex, Bloomberg and rating agency models