Manager, Data Scientist, Model Risk Office

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VANew York, NYRichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k

This role $211k

$146k most similar roles pay here $234k

This role pays more than 69% of similar roles. Most pay $162,000–$225,125 — the shaded band above. At the midpoint, this role pays about $211k versus about $194k 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 700 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 693 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Scientist, Model Risk Office

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The Manager of Data Science in the Model Risk Office will lead a team focused on developing advanced techniques to mitigate model risks by analyzing past failures. This role involves overseeing statistical modeling projects and ensuring compliance with regulatory standards while fostering innovation within the team. The ideal candidate is innovative, creative, technically proficient, and statistically minded. Daily responsibilities include designing predictive models, conducting risk assessments, and collaborating with cross-functional teams to enhance data-driven decision-making processes. Preferred qualifications include expertise in Python or R for statistical analysis, proficiency in SQL for database management, and experience with machine learning frameworks such as TensorFlow or PyTorch. The position requires a deep understanding of financial regulations and the ability to work at scale within a complex organizational structure.

Skills

Python R SQL Pandas Scikit-learn TensorFlow Keras Spark Hadoop AWS Azure Git Jupyter Notebook CI/CD Docker Kubernetes

What you'll do

Develop and implement advanced statistical models to mitigate model risk.
Analyze complex data sets to identify potential risks and vulnerabilities.
Create innovative solutions to enhance the accuracy of predictive analytics.
Evaluate existing models for compliance with regulatory standards and best practices.
Communicate technical findings effectively to non-technical stakeholders.

What we're looking for

3+ years of experience in data science or related field.
Strong background in statistics and machine learning techniques.
Proficiency in programming languages such as Python or R.
Experience with big data technologies and analytics tools.
Ability to innovate and develop new methods for risk assessment.

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