Senior Associate, Quantitative Research

Position Overview

Responsibilities

• Build and deploy AI solutions to enhance the diligence, selection and monitoring process for the leveraged finance investment team.
• Design and implement AI co-pilot and agentic workflows that automate complex business processes and enhance decision-making.
• Prototype, test, and iterate on AI-powered products with high impact.
• Collaborate cross-functionally with multi-disciplinary teams to translate business needs into technical solutions.
• Leverage large language models, retrieval-augmented generation (RAG), and other modern AI architectures to solve real-world enterprise problems.
• Drive adoption of AI tools by engaging stakeholders, demonstrating value, and supporting change management.
• Analyze large sets of financial data to identify patterns, trends and insights in order to inform investment decisions.
• 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.
• Provide 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.
• Technical background in AI/ML with hands-on experience building and deploying models in production environments.
• Proficiency in Python and modern AI frameworks (e.g., LangChain, LlamaIndex, Hugging Face, OpenAI APIs).
• Experience with enterprise solution deployment, including integration with existing data infrastructure and business systems.
• Strong cross-functional communication skills and a product-builder mindset — comfortable translating ambiguous business problems into working software.
• Prowess in math required and experience in finance, especially credit markets, preferred.

Pay

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.