OTC Pricing Analyst

What We Do

OTC Derivatives Valuations is a specialized team within Global Operation and Technology Division of Bank of New York Mellon focused on providing pricing and analytics related to Valuation of Over-The-Counter (OTC) Derivatives to our clients. Our clients include Mutual Funds, Institutional Investors, Pension Funds, Hedge Funds, ETFs and other Financial Institutions seeking complex OTC Derivatives to manage the financial risks. We operate from Singapore, India, Poland, Ireland and the United States. The US team is 15+ members (and growing) and supports domestic and international institutional clients. In the US, the team operates from New York, NY and Orlando, FL. Our team is primarily responsible for:

• Execution of daily pricing, review and analysis tasks related to valuation of OTC Derivatives across Rates, FX, Credit, Equities and Commodities asset classes
• Providing analytics and explanation of price movements for OTC derivatives using data and analytics
• Facilitating onboarding of new clients and servicing existing clients
• Having a deep understanding of the market inputs required for and technical aspects of the valuation of OTC Derivatives
• Identification, ownership and execution of strategic projects related to pricing and valuation of OTC Derivatives
• Provide valuation expertise and oversight for matters relating to OTC Derivatives to internal and external stakeholders

OTC Pricing Analyst Role

As an OTC Pricing Analyst within the US team, you will own and drive the processes required for valuation, analysis and production of pricing for OTC Derivatives. You will partner with senior colleagues and be actively involved in analysis, investigation and explanation of price changes due market data, Greeks and other valuation dimensions required for pricing of OTC Derivatives by querying our pricing database. Apart from the daily pricing activities, you will also be actively involved in strategic project management and execution, developing tools and capabilities to enable valuation analytics and process efficiencies.

Standard Job Responsibilities

Under direct guidance, works with internal and external datasets and client reference data and provides analysis in the development of statistical, financial and/or econometric models for analyzing asset performance, securities data, derivative pricing, risk exposure or other sophisticated concepts. Provides analytical support and prepares drafts of standard and ad hoc reports for assigned area. With general guidance, supports assigned areas with basic statistical and quantitative analyses. Sometimes performs more advanced analyses. Performs or oversees data management activities in support of more senior quantitative colleagues. Runs models, looks for exceptions, takes corrective action. Has some knowledge of technology tools used to conduct analyses conduct analyses. Applies techniques such as SQL, querying and macro development to extract data for populating models. Has some knowledge of processes and products and which analyses, methodologies and approaches best support assessment of performance, risk, or valuation. Interprets findings and prepares initial drafts of standard reports. Assists more senior team members with the preparation of ad-hoc reports at the request of managers and/or other leaders. Is beginning to review reporting and calculations performed by less experienced colleagues. No direct reports. Primarily responsible for the accuracy and quality of own work. Work contributes to the achievement of team goals.

Qualifications

• Bachelor's degree or the equivalent combination of education and experience. Advanced degree in quantitative analysis is preferred.
• Up to three (0-3) years of experience is preferred.
• Experience in quantitative finance and technology is preferred.

Preferred Qualifications

• Bachelor's degree in Finance, Engineering, Mathematics or Statistics.
• Up to three years of experience specifically in the Finance, Analytics, or Statistical fields.
• Ability to effectively prioritize and execute tasks in high-pressure environment.
• Proficiency in using Microsoft packages, particularly Access.
• Proficiency in building visualizations and analytics using Microsoft Excel and/or Tableau.
• Proficiency in programming using Python, Pandas, working with Jupyter Notebooks and related libraries.