Manager, Quantitative Analysis - Global Finance
Listed on 2026-01-15
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Finance & Banking
Data Scientist -
IT/Tech
Data Scientist, Data Analyst
Manager, Quantitative Analysis - Global Finance
At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision‑making.
As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
This position offers a unique opportunity to be a part of the dynamic Finance organization at Capital One. The Finance organization has been on a technology attachment seeking to find ways to leverage technology to drive deeper insights and make the complex simple. We are looking for candidates to help in our journey with modeling, analytical and/or model implementation skills to join our finance team.
Responsibilities and Skills:- Develop, implement, and calibrate term structure models. This role involves creating robust frameworks טא to accurately capture interest rate dynamics, enabling precise pricing of fixed‑income instruments and effective risk management.
- Calibrate model parameters by developing algorithms that achieve the "best fit" to the current volatility surface using market data, including swaps,describe, bonds, and swaptions.
- Integrate yield curve models across a variety of guideline of business to support finance organization modeling use cases, including interest rate risk analytics and stress testing.
- Partner with the various lines of business to develop and enhance Capital Markets modeling and analytical framework, such as deposit predictions, derivatives models and fixed income models.
- Work across Capital One entities to create novel analytical solutions to challenging business problems.
- Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.
- Collaborate in a cross‑disciplinary team to build cloud‑based solutions grounded in data.
- Identify opportunities to apply quantitative methods or machine learning to improve business performance.
- Apply deep expertise in mathematics, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers.
- Providing technical guidance to business leadership.
- Communicate technical subject matter clearly and concisely to individuals from various backgrounds.
- Understand and navigate Risk Management Software to enable business analysis.
Basic Qualifications:
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
- PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related disciplines.
- 5+ years of experience in statistical modeling,…
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