Senior Associate Data Scientist, Model Risk Audit

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: McLean, VACharlotte, NCRichmond, VANew York, NYPlano, TX
Salary: $123,300–$140,700 / yr
Posted: 49 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $185k

This role $132k

$112k most similar roles pay here $232k

This role pays less than 89% of similar roles. Most pay $149,875–$219,462 — the shaded band above. At the midpoint, this role pays about $132k versus about $185k 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, Model Risk Audit

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As a Senior Associate, Data Scientist - Model Risk Audit, you will join the Model Audit team to review model risk practices across the enterprise and provide assurance to the Audit Committee. You will partner with cross-functional teams of data scientists, software engineers, and product managers to develop innovative features using emerging NLP and Generative AI technologies. Your daily responsibilities include building machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. To uncover insights within large volumes of numeric and textual data, you will utilize a technical stack including Python, Conda, AWS, H2O, Spark, and SQL. You will also apply expertise in clustering, classification, sentiment analysis, time series, and deep learning to solve complex problems while translating technical complexities into tangible business goals for the organization.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

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Skills

Python AWS Machine Learning NLP Generative AI H2O Spark Conda SQL Scala R Deep Learning Sentiment Analysis Time Series Clustering Classification

What you'll do

Review models and model risk practices across the enterprise to provide assurance to the Audit Committee.
Develop machine learning models through all phases of development including design, training, evaluation, validation, and implementation.
Utilize Python, Conda, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data.
Create next-generation features powered by emerging NLP and Generative AI technologies.
Translate complex technical findings into tangible business goals for stakeholders.
Research and evaluate state-of-the-art methods and emerging technologies to improve existing processes.
Identify and resolve model risk issues across the organization's portfolio.

What we're looking for

A Bachelor's degree in a quantitative field plus 2 years of experience performing data analytics.
A Master's degree in a quantitative field or an MBA with a quantitative concentration.
At least 2 years of experience in Python, Scala, or R.
At least 2 years of experience with machine learning.
At least 2 years of experience with SQL.
Experience working with AWS.
Proficiency in building and validating models using techniques like clustering, classification, sentiment analysis, time series, and deep learning.
Ability to utilize tools such as Conda, H2O, and Spark to analyze large volumes of numeric and textual data.

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