Manager, Data Analyst - AML

Information Technology Senior Management Forum; Richmond (VA); Hybride; USD 150 000 - 171 000; Plein temps

Avantages offerts par ce poste

Performance-based incentive

Comprehensive health and other total-w

Résumé du poste

Information Technology Senior Management Forum seeks a seasoned data analytics leader to shape AML transaction monitoring models and analytics. The role combines hands-on modeling, large-scale data analysis, and cross-functional collaboration in a fast-paced environment.

You will mentor junior analysts, contribute to model testing and data storage design, and drive process improvements to enhance reporting and decision-making across the organization.

Qualifications

• Bachelor’s degree in a quantitative field plus at least 6 years of data analytics experience, or a Master’s degree plus 4 years of data analytics experience with the degree obtained by start date.
• At least 4 years of professional data analysis experience.
• At least 4 years of professional programming experience.

Responsabilités

• Drive AML strategy using advanced analytical skills.
• Support building and using models to test and validate data.
• Work with large datasets across evolving environments.
• Collaborate across business units and design production and data storage systems.
• Mine data to identify information and analyze data for product offerings.
• Analyze processes and tests, including strategic testing of products and marketing.
• Improve processes, data, and reporting to increase efficiency.
• Work with massive databases containing millions to billions of records.
• Lead a team of junior analysts, mentoring and guiding career development.
• Contribute to improving customer experience through analytics.

Connaissances

Data analytics

Programming

Team leadership

Project management

Formation

Bachelor's degree in quantitative field

Master's degree in STEM

Outils

AWS

Snowflake

Python

Spark

SQL

Description du poste

In this hybrid role, you will help shape how AML transaction monitoring models and analytics are developed, deployed, and monitored. This position at Information Technology Senior Management Forum supports end-to-end project delivery, partnering across business units to improve processes, reporting, and data-driven decision-making.

Working in a fast-paced, entrepreneurial environment with a strong emphasis on analytics and data quality, you will lead junior analysts while also contributing hands‑on to model testing, large-scale data analysis, and improvements to operational efficiency.

What you’ll do

• Drive current and future AML strategy by applying advanced analytical skills
• Support building and using models to test and validate data
• Work with vast datasets across new and evolving environments
• Collaborate across business units and consult on design and implementation of new production and data storage systems
• Mine data to identify key information for the organization and extract/analyze data to assess product offerings
• Conduct analysis to evaluate processes and tests, including strategic testing of products, initiatives, and marketing materials
• Implement process, data, and reporting improvements to strengthen effectiveness and efficiency
• Work with large, complex databases containing millions to billions of records
• Lead a team of junior analysts, mentoring and elevating their careers while participating in the full project life cycle
• Contribute to improving customer experience through analytics

Basic qualifications

• Currently has, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field plus at least 6 years of data analytics experience, or a Master’s Degree plus at least 4 years of data analytics experience with the expectation the required degree will be obtained on or before the scheduled start date
• At least 4 years of professional data analysis experience
• At least 4 years of professional programming experience

Preferred qualifications

• 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 model development, model risk, or model validation experience
• At least 1 year of AML, fraud, or regulatory compliance experience
• At least 1 year of people management experience
• At least 1 year of project management experience
• Proficiency using and developing within AWS services

Technology stack

• AWS, Snowflake, Python, Spark
• Machine learning models
• Relational database technologies

Location and salary

Location: Richmond, VA (hybrid). This role is designated as hybrid, and you are expected to follow Capital One’s hybrid policy for required on-site presence at your designated office location.

Salary (full-time, annual): USD 149,800 - 171,000 for Richmond, VA.

Pay range may vary by location, and any annualized salary offered at hire will be reflected in the offer letter based on the selected work location.

Incentives and benefits

• Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being

Additional notes

• Capital One may consider sponsoring a new qualified applicant for employment authorization
• Applications are expected to be accepted for a minimum of 5 business days
• No agencies please
• Equal opportunity employer (EOE, including disability/vet), committed to non-discrimination in compliance with applicable laws
• Drug‑free workplace