Product Manager - Model Analytics & Forecasting

· Remote

Location

Remote

Type

Full Time

Job Description

https://ad.doubleclick.net/ddm/clk/628601142;435308584;f?https://www.capitalonecareers.com/tech?source=rd_builtin_job_posting_tm&utm_source=builtin.com&utm_medium=job_posting&utm_campaign=Tech&utm_content=niche_site&utm_term=435308584&ss=paid
Capital OneJobs
Product Manager - Model Analytics & Forecasting

Product Manager - Model Analytics & Forecasting

Reposted 11 Hours Ago
3 Locations
Hybrid
150K-188K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Change everything. Starting with your career.
The Role
Own and prioritize platforms supporting capital markets model development testing and deployment. Partner with quant treasury technology and data teams to define product strategy drive delivery set success metrics and ensure models are transparent governed and scalable.
Summary Generated by Built In
Product Manager - Model Analytics & Forecasting
Capital One's Finance Product & Data Solutions (FPDS) team is the central product organization within Finance responsible for defining strategy prioritizing outcomes and ensuring the delivery of scalable resilient platforms and data capabilities. We bring the Product discipline to complex Finance ecosystems aligning business needs technology execution risk mitigation and data governance to enable trusted reporting informed decision-making and long-term modernization.
The Capital Markets & Analytics Product team is a high impact team within FPDS entrusted with managing the platforms that our Capital Markets associates use to manage risk value portfolios and inform decision-making across Finance and the broader firm. Product Managers on our team are empowered to shape the platforms and capabilities that will define the future of balance sheet risk management at Capital One while ensuring we maintain a well-managed and compliant suite of solutions for internal partners.
This role sits at the intersection of Finance Risk Data and Technology. You will own products that enable analytical rigor scalability and trust in our models - ensuring they are transparent well-governed and fit for strategic use. Your work will directly influence how the firm evaluates risk allocates capital and navigates changing market conditions.
Responsibilities:
  • Embed with partners and stakeholders across quant model development balance sheet risk management and Treasury trading desks to understand user & end customer pain points and desired outcomes from modeling tools
  • Partner closely with users & end customers including Quant and Treasury teams to translate business requirements that enable model development testing and deployment
  • Partner closely with counterparts across Technology Data and Business stakeholder teams while working closely with peer teams in Research Design Architecture and other groups to develop & iterate on proposed solutions for high priority needs
  • Drive alignment across stakeholders by prioritizing competing initiatives sequencing development of capabilities and features and ensuring end-to-end delivery
  • Establish success metrics and feedback loops to assess customer usability adoption and solutions impact continuously iterating based on user and stakeholder feedback

This role is ideal for a Product Manager who thrives on ambiguity enjoys solving hard structural problems and can balance near-term delivery with long-term platform evolution.
You will be expected to operate as a trusted partner to Finance and Risk leaders - not just gathering requirements but helping shape the "why" "what" and "how" behind the models that matter most.
Basic Qualifications:
  • At least 3 years of experience working in Product Management
  • 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 Computer Engineering Software Engineering Mechanical Engineering Information Systems or a related quantitative field)
    • A Master's Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science Computer Engineering Software Engineering Mechanical Engineering Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:
  • Background or hands-on experience supporting model development analytics or quantitative workflows such as scenario analysis stress testing or forecasting
  • Demonstrated ability to translate business partners' needs into clear product strategy defining target outcomes & operating models success metrics and proposed roadmaps / prioritized backlogs for business engineering and data partner teams
  • Comfortable navigating regulatory requirements and third-party systems limitations while still driving step-function modernization & improvements to user outcomes
  • Enjoys working in a dynamic fast-paced and demanding team and learning environment while maintaining a high level of analytical rigor and attention to detail
  • Strong ownership mindset with ability to both drive work independently and through/with others
  • Ability to influence multiple senior stakeholders with competing priorities synthesize diverse viewpoints and drive alignment without direct authority
  • Clear confident communicator who can explain complex analytical concepts to both technical and non-technical audiences

At this time Capital One will not sponsor a new 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.
Cambridge MA: $164800 - $188100 for Manager Product Management
McLean VA: $164800 - $188100 for Manager Product Management
Richmond VA: $149800 - $171000 for Manager Product Management
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 incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status exempt or non-exempt status and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE including disability/vet) committed to non-discrimination in compliance with applicable federal state and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23-A of the New York Correction Law; San Francisco California Police Code Article 49 Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal state and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process please send an email to [email protected]
Capital One does not provide endorse nor guarantee and is not liable for third-party products services educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Skills Required

  • At least 3 years of experience working in Product Management
  • Bachelor's Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science Computer Engineering Software Engineering Mechanical Engineering Information Systems or related) or in process of obtaining one by start date
  • Master's Degree in a quantitative field or an MBA with a quantitative concentration (or in process of obtaining one by start date)
  • Background or hands-on experience supporting model development analytics or quantitative workflows (scenario analysis stress testing forecasting)
  • Ability to translate business partners' needs into clear product strategy success metrics and prioritized roadmaps/backlogs
  • Comfort navigating regulatory requirements and third-party system limitations while driving modernization
  • Ability to work in a dynamic fast-paced environment with strong analytical rigor and attention to detail
  • Strong ownership mindset and ability to drive work independently and with others
  • Ability to influence multiple senior stakeholders synthesize viewpoints and drive alignment without direct authority
  • Clear confident communicator who can explain complex analytical concepts to technical and non-technical audiences

What the Team is Saying

Ryan Page
Kristen Cornelsen
Natalia Bachmann
Am I A Good Fit?
beta
Expert contributor network
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: McLean VA
55000 Employees
Year Founded: 1994

What We Do

At Capital One we think and work like a tech company using our digital fluency to transform everything about the customer experience. We’re bending data to our will and turning a stodgy industry on its head. That’s reflected in our ranking as the number one business technology innovator in the U.S. in the 2016 InformationWeek Elite 100.

Why Work With Us

Here’s another question: What are you looking for? A place where curiosity is the starting point? Where data leads to human insights? Where humanity drives product development? We’re bringing breakthrough products and services to consumers small businesses and commercial clients. And each new idea makes life better for millions of people.

Gallery

Capital One Teams

Team
Technological Innovation at Capital One
About our Teams

Capital One Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
Company Office Image
HQMcLean VA
MX
Atlanta GA
Bengaluru Karnataka
Company Office Image
Boston MA
Company Office Image
Chicago IL
Company Office Image
London GB
Company Office Image
New York NY
Company Office Image
Nottingham GB
Company Office Image
Philadelphia PA
Company Office Image
Plano TX
Company Office Image
Richmond VA
Company Office Image
San Francisco CA
Toronto ON
Learn more

Similar Jobs

Capital One

Director Data Analysis - US Card Data

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
2 Locations
55000 Employees
210K-263K Annually

Capital One

Artificial Intelligence Engineer

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
4 Locations
55000 Employees
209K-286K Annually

Capital One

Manager Project Management- Network Policy Development

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
4 Locations
55000 Employees
138K-189K Annually

Capital One

Artificial Intelligence Engineer

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
3 Locations
55000 Employees
230K-286K Annually
Apply Now

Date Posted

06/03/2026

Views

0

Back to Job Listings Add To Job List Company Profile View Company Reviews
Neutral
Subjectivity Score: 0
142,000+ Jobs Tracked
12,400+ Companies
1,930 Categories