As a Principal Associate, Data Scientist in the Retail Bank Customer Protection team, you will focus on enhancing fraud prevention by developing and implementing advanced knowledge graphs and graph algorithms using Python, Conda, AWS, Spark, Gremlin, NeptuneDB, and other technologies. Your daily tasks include designing, training, evaluating, validating, and deploying these models to uncover hidden connections in both structured and unstructured data. You will collaborate closely with a multidisciplinary team comprising data scientists, software engineers, business analysts, and product managers to deliver cutting-edge fraud defense solutions that protect customer financial well-being. Ideal candidates possess extensive experience with knowledge graphs, graph databases like NeptuneDB or Neo4j, and query languages such as Gremlin or Cypher, along with a strong background in big data analytics and a commitment to innovative problem-solving.
Build knowledge graphs and graph algorithms using Python, AWS, Spark, Gremlin, and NeptuneDB.
Pilot graph modeling algorithms through design, training, evaluation, validation, and implementation phases.
Translate technical modeling expertise into solutions for fraud prevention business goals.
Develop innovative methods to detect hidden connections in structured and unstructured data.
Collaborate with cross-functional teams including data scientists, engineers, analysts, and product managers.
What we're looking for
At least 3 years of experience with knowledge graphs or similar data structures.
Proficient in graph database management systems like NeptuneDB and Neo4j.
Expertise in graph query languages such as Gremlin and Cypher.
Strong background in Python, SQL, AWS, Spark, and other relevant technologies.
Experience in developing and implementing machine learning models for fraud detection.
Ability to collaborate with cross-functional teams including data scientists and engineers.
Market check
Salary context
This
$147,100–$167,900
range sits above
18%
of similar postings on FindRole.
Peer median band
$161,800–$257,608
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$166,422–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
489 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 483 roles with salary data.