Fraud Risk Analytics & Model Governance Leader

SHANTANU NAYAK

RISK ANALYTICS FRAUD STRATEGY MODEL GOVERNANCE

Charlotte, NC 980-***-**** *************@*****.***

PROFESSIONAL SUMMARY

Risk analytics and fraud strategy professional with 15+ years of experience across banking, wealth management, and brokerage. Experienced in leading analysts, investigating transaction trends, improving fraud strategies, and using data to support business decisions. Combines hands-on analytical experience with model validation and risk governance, and works closely with Technology, Operations, Compliance, and business leaders to turn complex findings into clear recommendations.

AREAS OF EXPERTISE

Risk and Fraud Analytics: Transaction analysis, customer behavior analysis, fraud trends, fraud strategy optimization, rule tuning, credit risk analytics, scenario analysis, risk indicators

Leadership and Delivery: Team leadership, mentoring, work prioritization, cross-functional collaboration, executive presentations, stakeholder management

Data, Reporting and Governance: SQL query development, data quality, source assessment, KPI and KRI reporting, dashboards, reporting automation, data governance, control testing

Model and Regulatory Risk: Independent model validation, model performance monitoring, issue remediation, third-party risk, RCSA, SR 11-7, SR 26-2, OCC, RSA Archer

Tools and Platforms: Python, SQL, SAS, R, Tableau, Power BI, Alteryx, Snowflake, SQL Server, Oracle, Streamlit, Amazon SageMaker, Domino Data Lab, MLflow, AWS, Azure

Fraud Technology: NICE Actimize, BioCatch, Socure, LexisNexis, Pindrop, OrboGraph, Early Warning Services, Verafin, FICO Falcon, Visa, Mastercard

PROFESSIONAL EXPERIENCE

USAA

Data Scientist Lead, Fraud Data Science and Management Charlotte, NC Jan 2023 – Present

Lead and mentor a team of six or more analysts, setting priorities, reviewing deliverables, and helping team members produce accurate work that meets business and governance standards.

Lead independent validation of three or more new fraud models each year and conduct ten periodic model reviews. Assess model assumptions and performance, identify risks, and coordinate remediation in line with SR 11-7, SR 26-2, and OCC expectations.

Analyze model performance and adjust fraud strategies and thresholds, reducing false-positive blocks by 35% in money movement models and 15–20% across the broader portfolio while keeping fraud losses within budget.

Manage relationships and change processes for more than five fraud technology vendors. Standardized pre-production checks and coordinated controlled releases, reducing vendor onboarding time by 40%.

Worked with business and technology teams to complete Early Warning Services model validation and onboarding six weeks ahead of schedule, contributing to $150K in additional monthly business savings.

Helped improve model monitoring by supporting data pipelines and replacing manual monthly reports with real-time alerts and input/output checks. The changes enabled earlier issue escalation and reduced model degradation by 40%.

Led remediation planning for six Matters Requiring Attention, coordinating with stakeholders and supporting regulatory engagement. All six findings were closed within 12 months.

Present validation results, risk assessments, and remediation priorities to senior leaders and governance committees. Maintain model risk records and issue tracking in RSA Archer.

Developed AI-assisted fraud analytics workflows using Python and GitHub Copilot to summarize Tableau dashboard findings and highlight performance trends for business stakeholders.

Automated parts of vendor-model validation documentation using AI capabilities, reducing validation time by 30%.

Led work to introduce AI-assisted fraud investigation summaries and related-alert consolidation, helping reduce investigation time by more than three hours per case while improving documentation consistency, traceability, and privacy oversight.

TIAA

Lead Data Analyst, Enterprise Finance and Crime Department – Fraud Data Analytics Charlotte, NC Jun 2016 – Jan 2023

Developed and refined fraud strategies that generated $5–6 million in savings over a rolling 12-month period while balancing fraud prevention, customer experience, and operational performance.

Co-developed fraud scoring models in SQL and R with Compliance, IT, and Model Risk Management, supporting documentation, implementation, and validation. The work reduced false positives by 25%.

Reviewed transaction activity and fraud patterns to recommend rule changes and control improvements to business leaders.

Introduced key risk indicators, including account takeover rates and unauthorized withdrawal attempts, giving leaders clearer visibility into exposure and risk appetite.

Worked with IT to achieve 100% user acceptance testing coverage for quarterly fraud strategy releases, checking control effectiveness and helping prevent production issues.

Partnered with fraud detection and investigations teams during active fraud events to identify emerging patterns, assess exposure, and refine detection strategies.

Built leadership dashboards and KPI reports from the ground up, cutting manual reporting effort by 40% and improving visibility into performance.

Created Alteryx workflows using regex and natural language processing to automate account-decision analysis and improve consistency in fraud-risk identification.

Worked with Audit and Model Risk Management to test fraud controls, identify gaps, and confirm whether remediation was effective.

YATES DEVELOPMENT LLC

Data Analyst Intern, Real Estate Lending Charlotte, NC Jun 2015 – Aug 2015

Cleaned, blended, and processed data with Excel and SQL to support business analysis and decision-making.

Applied logistic regression, clustering, and predictive modeling to identify patterns and generate insights about real estate properties.

ACONIX INFOTECH

Data Analyst and Advisory Consultant India Sep 2012 – Jun 2014

Forecast portfolio loss rates using credit roll rates and time-series analysis, and prepared quarterly performance insights for senior leadership.

Developed risk and response models using market segmentation, produced SAS and SQL reports, and supported credit portfolio analysis and capital-risk reporting.

Managed a team of five analysts delivering dashboards and reports for cross-functional business needs.

TRANSERVE TECHNOLOGIES

Assistant Project Manager, Compliance and Risk India Apr 2011 – Aug 2012

Managed GIS analytics activities, maintained reporting standards, and prepared performance dashboards and reports for audit managers using Tableau.

MERIDIAN INFRATEL

Junior Business Analyst India Sep 2010 – Mar 2011

Analyzed business requirements and impacts, documented needs, and worked with product owners, business users, testers, and developers to manage user stories and technical risks.

EDUCATION

Master of Science in Information Technology, University of North Carolina at Charlotte Aug 2014 – Dec 2015

Bachelor of Engineering Aug 2006 – Aug 2010

CERTIFICATIONS

MIT Sloan School of Management, Artificial Intelligence: Implications for Business Strategy May–Jul 2026

Certified SAFe 5 Agilist

ISO 27001 In progress

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