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Senior Associate, Quantitative Analyst - MLRO
Job in
New York City, Richmond County, New York, USA
Listed on 2026-02-11
Listing for:
Capital One
Full Time, Part Time
position Listed on 2026-02-11
Job specializations:
-
Finance & Banking
Data Scientist -
IT/Tech
Data Scientist
Job Description & How to Apply Below
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 works on developing market and counter party credit risk models for the Capital Markets line of business. These models are critical to enabling continued prudent growth of the Commercial Bank and other trading activity. The outputs of these models will be used in hedging trading risks, stress testing, risk-weighted assets, and limits monitoring.
Responsibilities and Skills:
* Partner with the various lines of business to enhance modeling and analytical framework. Particularly focused on Value-at-Risk (VaR), Greeks (sensitivities), Potential Future Exposure (PFE), and Credit Value Adjustment (CVA)
* Work across Capital One entities to create novel analytical solutions to the 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 to improve business performance
* Providing technical guidance to business leadership
* Communicate technical subject matter clearly and concisely to individuals from various backgrounds.
Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.
Successful candidates would possess:
* Strong understanding of quantitative analysis methods in relation to derivatives.
* Strong coding skills in modern scripting languages such as .NET or Python.
* Ability to clearly communicate modeling results to a wide range of audiences.
* Strong written and verbal communication skills and ability to document analyses for reproducibility.
* Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.
* Demonstrated track-record in econometric 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 3 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 1 year of experience performing data analytics
Preferred Qualifications:
* Master's Degree in a highly quantitative field (Statistics, Economics, Mathematics, Financial Engineering, Operations Research or Technology related discipline)
* Experience with developing and implementing models using languages (.NET or Python) and working with data using query languages such as SQL
* Experience in statistical techniques such as classification, clustering, and regression
* Experience working with large-scale, cloud-based coding environments and databases
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $135,600 - $154,800 for Sr Assoc,Quantitative Analysis
New York, NY: $148,000 - $168,900 for Sr Assoc,Quantitative Analysis
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term…
Position Requirements
10+ Years
work experience
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