Manager, Data Scientist, Credit Review

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
McLean, VACharlotte, NCRichmond, VANew York, NYPlano, TX
Salary
$179,400–$204,700 / yr
Posted
130 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $192k
$127k most similar roles pay here $235k

This role pays more than 62% of similar roles. Most pay $148,425–$214,500 — the shaded band above. At the midpoint, this role pays about $192k versus about $181k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Scientist, Credit Review

Role Posting Log in to save

Manager, Data Scientist - Credit Review joins the Credit Review Models, Data and Innovative solutions team to defend the company against model failures and improve decision-making processes. The role involves building statistical and machine learning models to challenge existing production models while uncovering insights within massive volumes of numeric and textual data. You will collaborate with a cross-functional team of data scientists, credit risk experts, and product managers to translate complex technical work into tangible business goals. To succeed, you must utilize a technology stack including Python, Conda, AWS, H2O, Spark, and relational databases. The position requires expertise in clustering, classification, sentiment analysis, time series, and deep learning. This role specifically addresses the challenge of risk management by ensuring model integrity and finding innovative ways to improve outcomes within the credit review domain.

Skills

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

What you'll do

  • Use Python, Spark, and AWS to extract insights from large volumes of numeric and textual data.
  • Build and validate statistical and machine learning models to challenge existing production models.
  • Translate complex technical findings into tangible business goals for non-technical stakeholders.
  • Partner with cross-functional teams including risk experts and product managers to deliver customer-facing products.
  • Research and evaluate emerging technologies to improve internal tools and decision-making processes.
  • Solve large, undefined problems by identifying key questions and developing innovative solutions.

What we're looking for

  • A Bachelor's degree in a quantitative field plus 6 years of experience performing data analytics.
  • A Master's degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.
  • A PhD in a quantitative field plus 1 year of experience performing data analytics.
  • At least 1 year of experience leveraging open source programming languages for large scale data analysis.
  • At least 1 year of experience working with machine learning.
  • At least 1 year of experience utilizing relational databases.
  • Preferred: A PhD in a STEM field plus 3 years of experience in data analytics.
  • Preferred: At least 4 years of experience in Python, Scala, or R for large scale data analysis.

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