Senior Manager, Data Science, Personal Loan

Capital One Financial

Confirmed live today High trust

Quick summary

Work type
On-site
Location
McLean, VARichmond, VAChicago, ILNew York, NY
Salary
$209,000–$238,500 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $224k
$153k most similar roles pay here $248k

This role pays more than 75% of similar roles. Most pay $164,807–$224,125 — the shaded band above. At the midpoint, this role pays about $224k 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 1783 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 942 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Science, Personal Loan

Role Posting Log in to save

Senior Manager, Data Science - Capital One Personal Loan joins the Personal Loan Acquisition modeling team to build machine learning models that help customers access appropriate loan products at optimal rates. In this role, you will partner with cross-functional teams of data scientists, software engineers, and product managers to deliver products by revealing insights within large volumes of numeric and textual data. You will build models through all phases of development, including design, training, evaluation, validation, and implementation. The work involves predictive TDR and non-TDR models for acquisition processes such as list selection, campaign optimization, underwriting, pricing, and verification. You will utilize a technical stack including Python, Spark, AWS, Conda, and H2O, applying skills in clustering, classification, sentiment analysis, time series, and deep learning.

What does a Data Science Manager earn?

Median $211200 from 33 postings across 11 companies.

See salary data

Skills

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

What you'll do

  • Build machine learning models through all phases of development including design, training, evaluation, validation, and implementation.
  • Leverage Python, Spark, AWS, and H2O to extract insights from large volumes of numeric and textual data.
  • Develop predictive TDR and non-TDR models for list selection, campaign optimization, underwriting, pricing, and verification.
  • Translate complex technical work into tangible business goals for stakeholders.
  • Manage and develop the talent of the data science team.
  • Analyze and create data-driven solutions to help customers access the right loan products at the best rates.

What we're looking for

  • Must have a Bachelor's in a quantitative field plus 7 years of data analytics experience, a Master's/MBA plus 5 years, or a PhD plus 2 years.
  • Must have at least 2 years of experience leveraging open source programming languages for large scale data analysis.
  • Must have at least 2 years of experience working with machine learning.
  • Must have at least 2 years of experience utilizing relational databases.
  • Must have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • Must have experience building, validating, and backtesting models and interpreting confusion matrices or ROC curves.
  • Must have experience developing data science solutions using open-source tools and cloud computing platforms.
  • Preferred: PhD in a STEM field plus 4 years of experience in data analytics.
  • Preferred: At least 1 year of experience working with AWS.
  • Preferred: At least 2 years’ experience managing people.
  • Preferred: At least 5 years’ experience in Python, Scala, or R for large scale data analysis.
  • Preferred: At least 5 years’ experience with machine learning.

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