Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Capital One Financial Corporation
Manager Data Analyst - Data Strategy and Risk Innovation, PULSE
Manager Data Analyst - Data Strategy and Risk Innovation, PULSE
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
We are seeking a highly analytical and technical Manager, Data Analysis to join our Data Strategy and Risk Innovation team within the PULSE Network organization. In this role you will help build the framework and manipulate/analyze large datasets to understand 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. This role is 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.
A key focus of this role is innovation and simplification , thinking strategically about how to leverage technology for root cause analysis and trend detection. You will partner with stakeholders to transform complex transactional attributes into actionable insights and recommendations. This role will directly influence how we evolve our capabilities, improve the participant experience, and drive network risk
management through a deep, data-driven understanding of PULSE Network transactions.
What you'll do:
• Data Strategy: Drive current and future strategy by leveraging your analytical skills. Design and implement program for Transaction Monitoring aligned with Risk identification and modification
• Data-Driven Investigations: Conduct root-cause analyses on transactions and translating complex data findings into actionable risk mitigation strategies.
• Risk Data Architecture: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.
• Executive Reporting:Synthesize highly technical data into clear, compelling narratives and present risk exposure, incident reports, and strategic recommendations to senior leadership.
• Critical Thinking & Problem Solving: 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.
• Strategic Advising: Advise product and business teams on the risk implications of new data strategies, alternative data sources, and emerging technologies
• The "Translator": Act as the primary liaison between highly technical teams (Data Engineers, Data Scientists) and non-technical stakeholders(Legal, Compliance, Executive Board). Translate complex algorithmic functions into plain-English risk assessments.
On any given day you will be:
• Mining data to arrive at specific and crucial information for the organization
• Identifying and implementing process, data, and reporting improvements for the organization
• Working with large and complex databases containing millions to billions of records
• Improving operational efficiencies and effectiveness
• Conducting analysis to evaluate processes and tests
An ideal candidate will be on the leading edge of analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.
Basic Qualifications
• 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
Preferred Qualifications:
• Master's Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 7 years of profess