Product Manager Model Analytics & Forecasting
Capital One
Cambridge, MA (In Person)
$176,450 Salary, Full-Time
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Job Description
- 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.
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.
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.
Cambridge, MA:
$164,800- $188,100 for
Manager, Product Management McLean, VA:
$164,800- $188,100 for
Manager, Product Management Richmond, VA:
$149,800- $171,000 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.
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