Senior Associate Data Scientist, Model Risk Audit

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VACharlotte, NCRichmond, VANew York, NYPlano, TX
Salary: $123,300–$140,700 / yr
Employment: Full-time
Posted: 95 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 $178k

This role $132k

$113k $224k

below market most similar roles pay here above market

This role pays less than 89% of similar roles. Most pay $145,200–$210,300 — the blue band above. At the midpoint, this role pays about $132k versus about $178k 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, Model Risk Audit

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The Senior Associate, Data Scientist - Model Risk Audit joins the Model Audit team to review models and model risk practices across the enterprise. This role involves connecting dots to raise model risk issues and providing assurance to the Audit Committee. You will partner cross-functionally with data scientists, software engineers, and product managers to build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. You will create next-generation features using emerging NLP and Generative AI technologies. The role requires leveraging a broad stack including Python, Conda, AWS, H2O, Spark, Scala, and R to analyze numeric and textual data. Core competencies include clustering, classification, sentiment analysis, time series, and deep learning to solve complex business problems and provide breakthrough analytical solutions.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

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Skills

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

What you'll do

Review models and model risk practices across the enterprise to identify and raise risk issues.
Build machine learning models through all phases of development including design, training, evaluation, and validation.
Leverage Python, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data.
Develop next-generation features using emerging NLP and Generative AI technologies.
Translate complex technical work into tangible business goals for stakeholders.
Partner with data scientists, software engineers, and product managers to deliver customer-facing products.
Research and evaluate state-of-the-art methods and emerging technologies for application.

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.
Experience building machine learning models through all phases of development, including design, training, evaluation, and validation.
Experience with clustering, classification, sentiment analysis, time series, and deep learning.
Ability to interpret a confusion matrix or a ROC curve.
Experience working with AWS (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).

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