Principal Associate Data Scientist, Model Risk Office

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VARiverwoods, IL
Salary: $161,800–$184,600 / yr
Posted: 136 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $194k

This role $173k

$134k most similar roles pay here $239k

This role pays less than 58% of similar roles. Most pay $159,093–$229,125 — the shaded band above. At the midpoint, this role pays about $173k 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 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 · Principal Associate Data Scientist, Model Risk Office

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Principal Associate, Data Scientist - Model Risk Office joins the Card Fraud Model Risk team to evaluate model risk associated with fraud models across the customer lifecycle, including application, transaction, and payment stages. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to build machine learning models through all phases of development, from design and training to evaluation, validation, and implementation. The position requires constructing independent challenger models and performing rigorous assessments of existing fraud models for both first-party and third-party use cases. Candidates will utilize a technical stack including Python, Conda, AWS, H2O, Spark, SQL, and PySpark to analyze large volumes of numeric and textual data. Key skills include experience with clustering, classification, sentiment analysis, time series, deep learning, and interpreting metrics like ROC curves or confusion matrices.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

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Skills

Python SQL AWS Spark PySpark H2O Conda R Scala Machine Learning Deep Learning Kubeflow Time Series Sentiment Analysis Clustering Classification Statistics

What you'll do

Evaluate model risk for fraud models across the customer lifecycle including application, transaction, and payment stages.
Perform rigorous assessments of developed fraud models to ensure safety and reliability.
Construct independent challenger models to validate existing fraud detection systems.
Build machine learning models through all phases of development, from design and training to evaluation and implementation.
Analyze large volumes of numeric and textual data using Python, Spark, and AWS cloud platforms.
Translate complex technical findings into tangible business goals for cross-functional stakeholders.
Retrieve, combine, and analyze data from diverse sources and structures to uncover hidden insights.

What we're looking for

A Bachelor's degree in a quantitative field plus 5 years of experience performing data analytics.
A Master's degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics.
A PhD in a quantitative field.
At least 3 years of experience in Python, Scala, or R.
At least 3 years of experience with SQL.
At least 3 years of experience with Machine Learning model development and deployment.
At least 1 year of experience with AWS or other cloud computing platforms.
Experience with model development/deployment pipelines such as Kubeflow.

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