This is an exciting opportunity for someone who is highly motivated to work in an innovation-focused team and to contribute to our Corporate & Investment Bank business. 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.