Senior Manager, Data Science, Model Risk Office

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Chicago, ILMcLean, VARiverwoods, IL
Salary: $209,000–$238,500 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k

This role $224k

$139k $249k

below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $162,000–$229,000 — the blue band above. At the midpoint, this role pays about $224k versus about $196k 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 1917 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1045 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Science, Model Risk Office

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The Senior Manager, Data Science - Model Risk Office joins the Card Model Risk team to provide oversight and review of models used for underwriting flagship credit card products. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to ensure models are effectively governed and lead to positive business outcomes. You will build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. The position requires leveraging a broad technology stack including Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data. Key technical competencies include experience with relational databases, clustering, classification, sentiment analysis, time series, and deep learning to solve complex model risk management problems.

What does a Data Science Manager earn?

Median $211200 from 40 postings across 10 companies.

See salary data

Skills

Python AWS Spark H2O Conda Scala R Machine Learning Deep Learning Relational Databases Statistical Modeling Time Series Sentiment Analysis Clustering Classification Data Analytics Big Data

What you'll do

Review and oversee models used for underwriting flagship credit card products.
Use statistical and analytical tools to ensure models are effectively governed and produce positive business outcomes.
Build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation.
Leverage a broad technology stack including Python, AWS, H2O, and Spark to extract insights from large datasets.
Translate complex technical work into tangible business goals for stakeholders.
Research and evaluate emerging technologies and state-of-the-art methods for application in data science.
Retrieve, combine, and analyze data from a variety of sources and structures.

What we're looking for

Must have a Bachelor's in a quantitative field plus 7 years of data analytics experience, a Master's plus 5 years, or a PhD plus 2 years.
Must have at least 2 years of experience leveraging open source programming languages for large scale data analysis.
Must have at least 2 years of experience working with machine learning.
Must have at least 2 years of experience utilizing relational databases.
Must have experience with clustering, classification, sentiment analysis, time series, and deep learning.
Must be able to build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation.
Must have experience with Python, Conda, AWS, H2O, and Spark (preferred).
Must have at least 1 year of experience managing people (preferred).

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