Manager, Product Manager - Model Analytics & Forecasting

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VACambridge, MARichmond, VA
Salary: $164,800–$188,100 / yr
Posted: 56 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k

This role $176k

$154k most similar roles pay here $243k

This role pays less than 70% of similar roles. Most pay $173,893–$223,950 — the shaded band above. At the midpoint, this role pays about $176k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Manager, Product Manager - Model Analytics & Forecasting

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Manager, Product Manager – Model Analytics & Forecasting joins the Capital Markets & Analytics Product team within the Finance Product & Data Solutions organization. This role sits at the intersection of Finance, Risk, Data, and Technology to manage platforms used by associates to manage risk and value portfolios. The Product Manager will partner with quant model development, balance sheet risk management, and Treasury trading desks to translate business requirements into technical solutions for model development, testing, and deployment. Key responsibilities include prioritizing competing initiatives, establishing success metrics, and ensuring the delivery of scalable, well-governed models that provide analytical rigor and transparency. The role requires a candidate with a degree in a quantitative field or significant product management experience to solve complex structural problems regarding balance sheet risk management and capital allocation within a complex finance ecosystem.

What does a Product Manager earn in Virginia?

Median $176450 from 58 postings across 3 companies.

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Skills

Model Analytics Forecasting Data Governance Risk Management Product Management Software Engineering Information Systems Analytics Statistics Economics Operations Research Computer Science Mathematics

What you'll do

Identify user pain points by embedding with partners in quant model development and risk management.
Translate complex business requirements into actionable specifications for model development, testing, and deployment.
Coordinate with technology, data, and design teams to develop and iterate on high-priority solutions.
Prioritize competing initiatives and sequence the development of features to ensure end-to-end delivery.
Establish success metrics and feedback loops to evaluate customer usability and solution impact.
Define the "why," "what," and "how" behind models to ensure they are transparent and well-governed.
Manage products that provide analytical rigor, scalability, and trust in firm-wide risk management systems.

What we're looking for

Must have a Bachelor's or Master's degree in a quantitative field, Business, Marketing, or a related field.
Alternatively, must have a Bachelor's degree in any field and at least 3 years of Product Management experience.
Experience translating business strategy and analysis into consumer-facing digital products is preferred.
Ability to translate complex business requirements from quant and treasury teams into technical specifications for development.
Ability to prioritize competing initiatives and manage the end-to-end delivery of features and capabilities.
Proficiency in human-centered design, business focus, technology-driven solutions, integrated problem solving, and transformational leadership.
Ability to partner with cross-functional teams including Research, Design, Architecture, Data, and Technology.

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