Senior Associate Data Scientist, Consumer Credit Risk Models and Data

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $135,600–$154,800 / yr
Posted: 39 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 $186k

This role $145k

$125k most similar roles pay here $231k

This role pays less than 76% of similar roles. Most pay $151,875–$221,012 — the shaded band above. At the midpoint, this role pays about $145k versus about $186k 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 · Senior Associate Data Scientist, Consumer Credit Risk Models and Data

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Senior Associate, Data Scientist - Consumer Credit Risk Models and Data joins the Consumer Credit Risk Management Models and Data team to develop predictive models for losses, account volumes, and outstanding balances. Working on the deployment and platform side of the team, you will partner with cross-functional teams to modernize model pipelines and execution platforms while utilizing new data sources to provide insights into portfolio growth. You will build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. The role requires proficiency in Python, Conda, AWS, H2O, Spark, SQL, Scala, or R to analyze large volumes of numeric and textual data. This position addresses critical business problems such as stress testing, capital allocation, and recession preparedness by applying advanced quantitative methods within a complex regulatory environment to inform high-level strategic decision-making.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

See salary data

Skills

Python AWS Spark H2O SQL Conda Scala R Machine Learning Deep Learning Time Series Sentiment Analysis Clustering Classification Big Data

What you'll do

Build machine learning models through all phases of development including design, training, evaluation, and validation.
Develop and optimize model pipelines and execution platforms using technologies like Python, Spark, and AWS.
Analyze large volumes of numeric and textual data to uncover insights for portfolio growth.
Modernize existing infrastructure to improve the deployment and performance of predictive models.
Translate complex technical findings into tangible business goals for non-technical stakeholders.
Research and implement state-of-the-art methods and emerging technologies to solve undefined problems.
Manage data retrieval and integration from diverse sources and structures to support risk modeling.

What we're looking for

Must have a Bachelor's degree in a quantitative field plus 2 years of data analytics experience.
Alternatively, must have a Master's degree in a quantitative field or an MBA with a quantitative concentration.
Preferred candidates hold a Master's or PhD in a STEM field.
At least 2 years of experience with Python, Scala, or R is preferred.
At least 2 years of experience with machine learning is preferred.
At least 2 years of experience with SQL is preferred.
Experience working with AWS is preferred.
Must be able to build and validate models using techniques like clustering, classification, and time series analysis.

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