Company Description

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

Job Description

The Senior Data Analyst position requires an experienced professional who is passionate about data analysis, data modeling using statistics & rule building and maintain statistical & ML/AI based solutions in the AML & Sanctions Compliance space, specifically supporting the Transaction Monitoring Sanctions Screening and Client Due Diligence programs. The candidate should be a motivated self-starter and quick learner willing to work in a high-pressure fast paced environment and globally located teams

The candidate will be extensively involved in hands-on querying, analyzing, proposing and implementing optimization solutions, conduct user acceptance testing, and support business stakeholders’ enquiries on ad hoc basis.  Successful candidate will be working in the Compliance Technology Operations (CTO) team which is part of the Global Ethics and Compliance organization

Essential Functions:

Strong analytical skills, with the ability to conduct large scale data analysis through all stages: understand business goal and strategy, formulate analytic approach, perform data extraction and exploration, and translating results into actionable itemsDesign and conduct experiments to evaluate the model performance using appropriate metrics and statistical analysis to measure and interpret resultsConduct periodic tuning of statistical and rule-based models using large-scale datasets to optimize models for performance, efficiency, and robustnessExperience with SQL, Hive, Spark and Python libraries such as pandas, numpy, matplot and Scikit including exposure to Generative AI technologies and their applications.Supervise and work with the Model Risk Management team as an independent contributor to support model validations across multiple business entities. Ensure the accuracy, reliability, and compliance of models by overseeing and conducting thorough validationsCollaborate with internal stakeholders across business units and regulated entities to enhance alignment in implementing MRM policy/standards and promote MRM best practicesPrepare technical documentation, including model architecture, implementation details and model methodology. Review model reports and communicate findings, insights, and recommendations to both technology and business stakeholders

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Bachelor's/Master’s Degree in Engineering, Economics, Statistics, Mathematics, or related technical discipline
At least 5 years of experience in data analysis, reporting, statistical analysis, research, data mining, trend analysis etc.
At least 5 years of experience in model development and implementation using tools like SAS, SQL, Python, Hive and Spark
Excellent knowledge of database management, data extraction and data manipulation skills
Superior communication, business writing and stakeholder management skills
Self-motivated and proactive in talking to business partners/clients to identify and understand problem statements
Passionate about building end-user experiences that deliver measurable value without increasing complexity
Willing to work on a flexible schedule across different time zones

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.