Senior Manager, Data Science, Model Risk

Capital One Financial

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Quick summary

Work type: On-site
Location: Richmond, VAMcLean, VA
Salary: $229,900–$262,400 / yr
Employment: Full-time
Posted: 3 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 $193k

This role $246k

$136k $276k

below market most similar roles pay here above market

This role pays more than 87% of similar roles. Most pay $162,000–$223,750 — the blue band above. At the midpoint, this role pays about $246k versus about $193k 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 2276 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1147 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

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The Senior Manager, Data Science - Model Risk joins the Model Risk Office to defend the company against model failures and improve decision-making. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-facing products. 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. You will translate complex technical work into tangible business goals while identifying and improving the status quo to solve critical risk management problems.

What does a Data Science Manager earn?

Median $211200 from 46 postings across 11 companies.

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Skills

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

What you'll do

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 volumes of data.
Retrieve, combine, and analyze data from a variety of different sources and structures.
Translate complex technical work into tangible business goals for stakeholders.
Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver products.
Research and evaluate emerging technologies and state-of-the-art methods for application within the company.
Identify and improve the status quo by challenging conventional thinking and working with stakeholders.

What we're looking for

Must have a Bachelor's in a quantitative field plus 7 years of data analytics experience, a Master's/MBA 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.
PhD in a STEM field plus 4 years of experience in data analytics (preferred).
At least 1 year of experience working with AWS (preferred).
At least 1 year of experience managing people or leading team-based projects (preferred).
At least 5 years of experience in Python, Scala, or R for large scale data analysis (preferred).
At least 5 years of experience with machine learning (preferred).

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