Lead Machine Learning Engineer
Prudential Financial
At a glance
AI generatedThe Transaction Core team within Capital One's PINT organization seeks a Lead Machine Learning Engineer to drive the modernization of foundational data platforms that process billions of transactions annually. This role involves building and maintaining core services like the Transaction Datastore (TDS), which supports real-time, intelligent transaction analysis for fraud detection and subscription management. The ideal candidate will work on componentizing data assets to enhance technical flexibility and improve the velocity of recurring insights models across various payment types including Card, Bank, and External FI transactions. Proficiency in Python, SQL, and experience with cloud platforms like AWS or Azure is essential, along with a strong background in machine learning and data engineering. This position offers an opportunity to solve large-scale data challenges and deliver impactful customer experiences through advanced digital tools and services.
Skills
What you'll do
What we're looking for
Market check
This $215,200–$245,600 range sits above 65% of similar postings on FindRole.
Peer median band
$167,683–$258,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$179,493–$246,425
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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.
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