Senior Associate, Data Scientist

Capital One Financial

Quick summary

Work type: On-site
Location: New York, NY · McLean, VA
Salary: $135,600–$154,800 / yr
Posted: 1 day ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $157k

This role $145k

$89k most similar roles pay here $226k

This role pays less than 59% of similar roles. Most pay $126,800–$187,531 — the shaded band above. At the midpoint, this role pays about $145k versus about $157k 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 798 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 791 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate, Data Scientist

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As a Senior Associate Data Scientist on Capital One’s Commercial Bank Team in McLean, VA or New York, NY, you will join a dynamic team responsible for developing and implementing analytical tools and models to forecast the bank's volume, revenue, and expenses across Corporate Banking, CRE, and NBFI lending. Your day-to-day responsibilities include leveraging big data and advanced statistical techniques to solve complex business problems, contributing to both model development and implementation. Ideal candidates are innovative and technically proficient with experience in AWS and AI-assisted development, though financial knowledge is a plus. This role offers the opportunity to work on a growing team that tackles diverse analytical challenges using cutting-edge tools and methodologies.

Skills

AWS Python R SQL Pandas Scikit-learn TensorFlow Keras CI/CD Git Jupyter Notebook BigQuery Snowflake PostgreSQL MongoDB Docker Kubernetes Terraform Prometheus Grafana

What you'll do

Develop and implement predictive models to forecast bank volume, revenue, and expenses.
Analyze large datasets using advanced statistical techniques and machine learning algorithms.
Collaborate on the development of analytical tools to support decision-making processes.
Optimize existing models for efficiency and accuracy in a production environment.
Stay updated with industry trends and incorporate new methodologies into projects.

What we're looking for

At least 3 years of experience in data science or related field.
Strong statistical and analytical skills with proficiency in big data handling.
Experience working with AWS and AI-assisted development tools.
Knowledge of financial industry practices is preferred but not required.
Ability to develop and implement predictive models for forecasting.

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