Sr. Manager, Data Analyst - Network Compliance

Capital One•McLean, VA

7h•Onsite

About The Position

The Network Compliance Senior Manager Data Analyst will perform a key risk management role in the second line of defense for Capital One’s network and merchant businesses to help implement the framework for the network compliance program. The Network Compliance Senior Manager is a critical member of the team responsible for delivering effective challenge and compliance advice for business processes worldwide, as well as serving as a subject matter expert to ensure the development of the network compliance program at Capital One aligns with the company’s broader enterprise risk management framework. 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. Senior Manager Data Analysts in Network Compliance at Capital One are highly motivated Risk Management professionals with excellent organizational, leadership and communication skills. They have a high level of exposure to business leaders and the opportunity to work with executives to create and implement innovative solutions to identify and mitigate potential risks to the company. Data Analysts will drive current and future strategy by leveraging your analytical skills. Assist with building and using models to test and validate data. Work with vast amounts of data in new and evolving environments. Be a part of a growing team developing metrics and reporting in existing, new and emerging markets. Be a part of the full life cycle of Global Payment Network Compliance projects and see end results. They will collaborate across business units and work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority. Mine data to arrive at specific and crucial information for the organization. Identify and implement process, data, metric and reporting improvements for the organization. Work with large and complex databases containing millions to billions of records. Improve operational efficiencies and effectiveness. Conduct analysis to evaluate reporting, processes and tests. Extract and analyze data to gauge LOB product offerings and compliance adherence. Consult on the design and implementation of new production and data storage systems. Develop and implement strategic tests of products, initiatives and marketing materials.

Requirements

Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience in (Python, R, Spark, and SQL)
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
Experience utilizing and developing within Snowflake services
Strong organizational skills, clear results orientation, and focus on achieving both short and long term goals
Successful track record of thriving in both a highly regulated industry and a fast paced, entrepreneurial, and dynamic environment
Collaborative, solution-oriented mindset with solid teamwork skills; ability to build and leverage the capabilities of a high-performing team
Highly developed interpersonal, presentation, and communications skills (written and oral) coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal, and negotiation skills
Ability to balance operating independently with appropriate escalation and interaction with senior leadership
Ability to thrive as a team player and interact with associates across functions, departments, and job levels, both inside and outside the Compliance Department; Work to gain an understanding of key regulatory requirements and three lines of defense risk management framework to better support those you serve.
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 strong leadership skills.
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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
At least 5 years of experience performing professional data analysis work
At least 5 years of experience leading and developing with open source data technologies
At least 2 years of experience managing people

Nice To Haves

Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field.
At least 4 years of experience with Python, R, Spark or SQL
At least 1 years of project management experience
At least 1 year of experience in Tableau
At least 1 year of experience utilizing and developing within AWS service
At least 3 years of legal, compliance, or risk management experience OR at least 3 years of regulatory experience in consumer financial services or payments industry

Responsibilities

Develop understanding of network and merchant business and compliance processes
Proactively identify trends in business and compliance data and demonstrate appreciation of network payments compliance risks, including emerging external risks
Collaborate with first and second line functions to analyze the existing risk management program framework and applicability to the network and merchant services business; educate and influence risk management colleagues and senior leaders with respect to data utilization including nuanced or specialized considerations
Develop strong relationships with Business Risk, Legal, and Audit peers to support the ongoing network compliance integration
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged by three types of work – Innovation, Business Intelligence and Data Management:
Innovation: Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Business Intelligence: Partner with the business and compliance peers to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
Data Management: Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data