Senior Data Analytics Engineer
RPS North AmericaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
FinTech, Payments, Identity ManagementIndustries
Requirements
- 2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience
- Hands-on with Python for data science (pandas, NumPy, scikit-learn)
- Hands-on with SQL for data preparation and analysis
- Hands-on with Exploratory Data Analysis (EDA)
- Hands-on with basic supervised learning (logistic/trees)
- Hands-on with simple anomaly detection
Responsibilities
- Ingest and prepare IAM telemetry (ForgeRock AM/DS, SAML/OIDC/OAuth events, MFA, sessions, directory logs) for analysis and modeling
- Build and evaluate baseline models for anomaly detection, UEBA, and risk scoring, track clear metrics (precision/recall, ROC-AUC/PR-AUC)
- Run focused EDA and A/B tests to tune adaptive journeys and MFA step-ups for both security and user experience
- Engineer features and keep work reproducible (clean notebooks, versioned datasets, lightweight data docs)
- Package analyses/models for production (Docker and VMs) and contribute to CI/CD and safe rollouts (e.g., canary) with Release Engineering
- Set up basic monitoring for data/model quality, drift, and errors, create simple dashboards/alerts
- Partner with IAM engineers to turn insights into policy/rule changes (risk-based access, session controls) and validate impact on SLO/SLA
- Explore agentic AI (human-in-the-loop) to propose experiments, generate features, and triage anomalies—within audit and safety guardrails
- Apply privacy- and security-by-design (minimize personal data, pseudonymize) aligned to GDPR, PCI DSS, and other audits
- Document findings clearly and communicate results to technical and non-technical stakeholders
Skills
Data Science
Anomaly Detection
UEBA
ForgeRock
CI/CD
Containerization
Agentic AI
MFA
SAML
OIDC
OAuth
Python
Machine Learning
Visa
Global digital payment network provider
About Visa
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.
San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.
Risks
CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.
Differentiation
Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).
Upsides
Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.
Related Jobs
RemoteRemoteLead Data Analyst
iSpot.tvSalary not specified
- Full Time
- Expert & Leadership (9+ years)
RemoteMachine Learning Engineer
SweedSalary not specified
- Full Time
- Mid-level (3 to 4 years)
RemoteSr. Information Security Analyst
ValonSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteBusiness Intelligence Developer
Evolve TechnologySalary not specified
- Full Time
- Junior (1 to 2 years)
RemotePrincipal Data Architect
Access SystemsSalary not specified
- Full Time
- Expert & Leadership (9+ years)
RemoteQuantitative Analyst II
AffirmSalary not specified
- Full Time
- Mid-level (3 to 4 years)
RemoteTechnical Program Manager
GroqSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)