Manager, Data Analysis - PULSE Risk & Compliance

Capital One•Houston, TX

12d•Hybrid

About The Position

We are seeking a highly analytical, Manager Data Analysis to join our Data Strategy team. In this role as a Manager, Data Analysis, you will help build the framework and manipulate/analyze large datasets to understand PULSE transaction anomalies and risk exposure. This is a hybrid role designed for someone who speaks the language of machine learning, data architecture, and modeling, but also deeply understands regulatory frameworks, risk controls, and compliance mandates. You will be responsible for ensuring that our data-driven strategies are not only highly effective and scalable, but also ethical, explainable, and strictly compliant with industry regulations. If you are a recovering data scientist who loves policy, or a risk and compliance manager who writes Python on the weekends, this is the role for you. The payment ecosystem is constantly evolving, this role requires a unique blend of deep technical expertise, payment network knowledge, and sharp critical thinking to separate signal from noise.

Requirements

Currently has, or is in the process of obtaining a: Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
At least 4 years of experience performing professional data analysis work
At least 4 years of experience performing programming

Nice To Haves

Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
At least 7 years of professional data analysis work experience
At least 4 years of experience with Python, R, Spark or SQL
At least 1 year of experience in people management
At least 1 years of project management experience
At least 1 year of experience in Tableau

Responsibilities

Design and implement a program for Transaction Monitoring aligned with Risk identification and modification.
Build automated risk programs, isolate compromised data elements, and ensure the operational health and integrity of the PULSE network.
Act as the primary liaison between highly technical teams (Data Engineers, Data Scientists) and non-technical stakeholders (Legal, Compliance, Executive Board).
Partner with Data Engineering to design and optimize the architecture of risk data environments. Ensure data used for risk decisioning is accurate, accessible, and structured for advanced analytics.
Advise product and business teams on the risk implications of new data strategies, alternative data sources, and emerging technologies
Drive current and future strategy by leveraging your analytical skills
Conduct root-cause analyses on transactions and translating complex data findings into actionable risk mitigation strategies.
Advanced SQL, Python, Splunk, and data visualization for parsing high-volume transaction logs.
Synthesize highly technical data into clear, compelling narratives and present risk exposure, incident reports, and strategic recommendations to senior leadership.
Proven ability to approach complex, ambiguous problems systematically. You must be able to deconstruct issues, challenge the status quo, and anticipate the downstream impacts of network changes.
Working with large and complex databases containing millions to billions of records
Mining data to arrive at specific and crucial information for the organization
Identifying and implementing process, data, and reporting improvements for the organization
Conducting analysis to evaluate processes and tests