Senior Associate Data Scientist, AML Modeling & Innovations

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $135,600–$154,800 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $188k

This role $145k

$125k most similar roles pay here $236k

This role pays less than 79% of similar roles. Most pay $155,075–$221,237 — the shaded band above. At the midpoint, this role pays about $145k versus about $188k 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 939 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 936 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate Data Scientist, AML Modeling & Innovations

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Senior Associate, Data Scientist - Beyond AML Modeling & Innovations joins the Beyond AML Modeling & Innovations team within the Enterprise Risk Organization to modernize how the company assesses risk. In this role, you will partner with cross-functional teams of data scientists, software engineers, and product managers to design and deploy innovative solutions for complex challenges. You will build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. The work involves utilizing traditional machine learning, natural language processing, graph-based modeling, and Generative AI to analyze large volumes of numeric and textual data. To achieve these goals, you will utilize a technical stack including Python, Conda, AWS, H2O, Spark, SQL, Scala, or R. You will translate complex technical work into tangible business goals while solving problems related to risk assessment and management.

What does a Data Scientist earn in Virginia?

Median $145200 from 80 postings across 6 companies.

See salary data

Skills

Python AWS Machine Learning SQL Spark H2O Conda Natural Language Processing Generative AI Graph-based Modeling Deep Learning Scala R Big Data Time Series Sentiment Analysis Clustering Classification

What you'll do

Develop machine learning models through all phases of development including design, training, evaluation, validation, and implementation.
Utilize Python, Spark, AWS, and H2O to extract insights from large volumes of numeric and textual data.
Execute 0-to-1 projects using traditional machine learning, natural language processing, graph-based modeling, and Generative AI.
Translate complex technical findings into tangible business goals for non-technical stakeholders.
Research and evaluate emerging technologies to solve novel and complex risk assessment challenges.
Analyze data from diverse sources and structures to identify hidden patterns in large datasets.

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 developing machine learning models through all phases including design, training, evaluation, and implementation.
Proficiency in Python, Conda, AWS, H2O, Spark, and other open-source tools for data science solutions.
Ability to analyze large volumes of numeric and textual data using SQL and cloud computing platforms.
Experience with advanced techniques such as NLP, graph-based modeling, and Generative AI (preferred).
A Master's or PhD in a STEM field (preferred).
At least 2 years of experience in Python, Scala, or R; at least 2 years with machine learning; and at least 2 years with SQL (preferred).

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