JPMorgan Private Equity Valuation - Associate 

United States, New York, New York 

129080091

As a Pricing Direct Evaluator - Analyst in Private Equity, you will join a revenue-generating team that provides independent valuations and analytics on private equity, as well as 3 million fixed income and derivative instruments, utilizing real-time market intelligence from buy-side and sell-side market participants. You will play a crucial role in providing accurate and insightful valuations, which are essential for our clients' investment decisions and risk management strategies.

Job responsibilities

• Generate valuation reports on private equity positions, entailing start-to-end responsibilities. This includes collection and analysis of both private and public market data, valuation report generation, working closely with sophisticated clients, and adherence to strict quality controls.

• Conduct research and development to create cutting-edge methodologies and infrastructure to increase the accuracy and speed of valuations.

• Collaborate with trading desks, market participants, and research teams to enhance market knowledge and understanding of market pricing.

• Address all client concerns daily with an emphasis on providing first-class service and quality, whether via emails, calls, or in-person meetings.

• Explore new areas of product growth with a focus on autonomously developing innovative ideas and solutions.

Required qualifications, capabilities, and skills

• Firm understanding of the principles of equity valuation and data science.

• Strong communication skills, both oral and written.

• Strong software development skills in Python and Excel VBA.

• Ability to collect and analyze large amounts of market information, extract its essence, and incorporate the findings into valuation processes.

• Clear, logical thinker with strong quantitative abilities.

• Ability to thrive in a fast-paced environment of real-time market pressures, remaining focused on client needs.

Preferred qualifications, capabilities, and skills

• Previous market or quantitative experience in equity markets (public or private).

• Previous experience in implementing machine learning models in a business environment.

• Bachelor's degree or higher, ideally in a STEM field such as Computer Science, Financial Engineering, Mathematics, Physics, Finance, or Economics.

• Knowledge of Machine Learning, Statistical, and Artificial Intelligence techniques.