Senior Data Scientist
Visa · Posted Oct 12
Digital payment technology platform and global payment card services corporation
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About the role
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. The Compliance Technology Operations (CTO) team, part of the Global Ethics and Compliance organization, builds and maintains statistical and ML/AI based solutions in the AML and Sanctions Compliance space, specifically supporting Sanctions Screening. This Senior Data Scientist role works hands-on with querying, analysis and optimization of sanctions screening and name-matching models, partnering with Compliance, Model Risk Management and Technology teams.
What you will do
- Strong analytical skills, with the ability to conduct large scale data analysis through all stages: understand business goal and strategy, formulate analytic approaches, perform data extraction and exploration, and translate results into actionable items
- Expertise in AI techniques (Machine learning, natural language processing, deep learning), including exposure to Generative AI technologies and their applications. Experience with Python libraries such as pandas, numpy, matplot and Scikit
- Analyze structured and semi structured data (names, addresses, identifiers). Assess data quality, completeness, and appropriateness for sanctions screening. Define and test features used in matching and scoring logic. Partner with data engineering teams on data sourcing and transformations.
- Build and enhance sanctions screening models using rules based and fuzzy matching techniques. Tune thresholds and scoring logic to improve detection accuracy and reduce false positives. Analyze screening data and support feature design to strengthen match quality.
- Document model logic, assumptions, and changes in an audit ready manner. Monitor model performance and implement enhancements in line with regulatory and MRM standards. Design and conduct experiments to evaluate the model performance using appropriate metrics and statistical analysis to measure and interpret results
- Partner with Compliance, Model Risk Management, and Technology teams to support testing, validation, audits, and regulatory reviews. Ensure the accuracy, reliability, and compliance of models by overseeing and conducting thorough validations.
- Collaborate with internal stakeholders across business units and regulated entities to enhance alignment in implementing MRM policy/standards and promote MRM best practices
- Prepare 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
- Expertise in sanctions screening and name-matching, along with experience working with rules-based or statistical models and familiarity with major sanctions platforms
- 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
Skills used in this role
What the employer is looking for
- 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
Preferred 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.
- 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD)
- Experience in machine learning model development and implementation using tools like SAS, SQL, Python/R , Hive and/or Spark
- Building predictive and descriptive statistical models using AI/ML algorithms (e.g., logistic regression, random forests, SVMs, XGBoost, CNNs/RNNs). Additionally, experience in techniques including fuzzy matching, NLP based n-grams methodology, phonetics, tokenization, and similarity scoring will be desirable.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Visa
Visa Inc. is a multinational payment card services corporation that facilitates electronic funds transfers worldwide. The company empowers global commerce through its secure digital payment network, connecting consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.
- Industry
- Banking
- Company size
- 34100 employees
- Founded
- 1958-09-18
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $17.9B raised
- 2008-03-19IPO$17.9B
Leadership
Chief Executive Officer
Chief Financial Officer
Chief Product and Strategy Officer
Group President, Global Markets
Vice Chair, Chief People and Corporate Affairs Officer
Recent coverage
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