Senior Associate Data Scientist, Consumer Credit Risk Models and Data

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $135,600–$154,800 / yr
Employment: Full-time
Posted: 85 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $187k

This role $145k

$125k $236k

below market most similar roles pay here above market

This role pays less than 80% of similar roles. Most pay $158,212–$214,900 — the blue band above. At the midpoint, this role pays about $145k versus about $187k 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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate Data Scientist, Consumer Credit Risk Models and Data

Role Posting Log in to save

JOB TITLE: Senior Associate, Data Scientist - Consumer Credit Risk Models and Data The Senior Associate, Data Scientist - Consumer Credit Risk Models and Data joins the Consumer Credit Risk Management Models and Data Team to modernize model pipelines and execution platforms. In this role, you will partner with data scientists, software engineers, and product managers to build, train, evaluate, and implement machine learning models. You will utilize a technology stack including Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data. Your work focuses on developing predictive models for losses, account volumes, and outstanding balances. These models are critical for determining capital requirements, performing federal reserve stress tests, and guiding strategic decisions regarding recession preparedness and loss allowances within a complex regulatory environment.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

See salary data

Skills

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

What you'll do

Deploy, optimize, and modernize model pipelines and execution platforms.
Build machine learning models through all phases of development, including design, training, and validation.
Analyze huge volumes of numeric and textual data using Python, AWS, H2O, and Spark.
Develop predictive models for losses, account volumes, and outstanding balances.
Translate complex technical work into tangible business goals for stakeholders.
Retrieve and combine data from a variety of sources and structures.
Research and evaluate emerging technologies and state-of-the-art methods for application.

What we're looking for

Must have a Bachelor's degree in a quantitative field plus 2 years of data analytics experience.
Must have a Master's degree in a quantitative field or an MBA with a quantitative concentration.
Must have experience building, validating, and backtesting machine learning models.
Must have experience retrieving and analyzing data from a variety of sources and structures.
Must have experience with clustering, classification, sentiment analysis, time series, and deep learning.
Must have experience developing data science solutions using open-source tools and cloud computing platforms.
Master’s degree in a STEM field or a PhD in a STEM field (preferred).
At least 2 years of experience in Python, Scala, or R (preferred).
At least 2 years of experience with machine learning (preferred).
At least 2 years of experience with SQL (preferred).
Experience working with AWS (preferred).

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