Risk Strategy · Analytics · Fintech

Priyesh
Kumar Singh

Analytics Manager

Experienced credit risk and analytics professional with expertise in consulting, fintech, and credit risk management — building data-driven strategies that balance growth with precision.

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Priyesh Kumar Singh
$2.6M Portfolio Forecast Managed
5+ Years in Risk Analytics
1M+ Customers Impacted
Top 0.2% IIT JEE-Advanced Rank

// Career

Professional Experience

2025 – 2026
Capital One
Business Manager, Risk Strategy
  • Developed data-driven risk strategies for digital onboarding, partnering with product, data science, and engineering teams.
  • Led strategic upgrade of Socure Sigma risk model (V3→V4), recalibrating step-up thresholds to balance fraud prevention and customer experience. ~$1.4M NPV
  • Designed FY'26 IDT fraud loss budget with scenario-based views, forecasting trends across asymmetric risk scenarios. $2.6M projection
  • Implemented risk-based step-up strategy via Risk Assessment API, leveraging device & network intelligence to reduce IDT losses. ~$0.9M NPV/yr
2023
YABX (Fintech)
Principal Risk Analyst
  • Built credit policies (underwriting, CLI) for unsecured loan products across 3 African countries.
  • Spearheaded Go-To-Market for Zed-Fin's lending on MTN MOMO in Zambia, launching 3 fintech products targeting ~250K new customers.
  • Revamped credit strategy expanding to ~1M customers, tripling uptake to ~21%. 5.7M ZMW disbursed
  • Scaled monthly disbursals by 2.5x in Tanzania and Uganda within 8 months; improved repayment ~7%.
  • Drove ~10% revenue growth via Bureau Strategy; A/B marketing campaigns boosted uptake ~5%.
2021 – 2022
Sprinklr
Senior Product Analyst
  • Empowered 5+ brands with Unified-CXM; delivered POCs to 3 large enterprises accelerating adoption.
  • Built AI-driven tool for message validation & keyword matching. 80% time reduction
  • Implemented intelligent switching in chatbot conversation flow. 40% drop-off reduction
  • Led HDFC's Customer Care AI chatbot managing 100K+ daily messages with smart email suggestions.
2019 – 2021
EXL Service
Risk Analytics Consultant
  • Delivered 10+ risk mitigation analytics for a leading US bank across 3 diverse portfolios.
  • Analyzed TransUnion Daily Triggers to identify high-impact risk signals. ~$18M annual loss reduction
  • Streamlined exposure report generation for Credit Limit Increases — from days to 1 minute.
  • Built Portfolio Optimization Tool evaluating 2K+ scenarios across 10+ credit segments.

// Expertise

Skills & Technologies

Risk & Credit
Credit Risk Underwriting Fraud Strategy Loss Forecasting Credit Policy Portfolio Optimization
Analytics & Data
SQL Python R SAS Snowflake Data Modelling Big Data
Visualization & Tools
Tableau Excel PowerPoint JIRA Groovy Data Pipelines
Business
Business Strategy Stakeholder Mgmt A/B Testing Go-To-Market Reporting
AI & Product
Conversational AI Chatbot Design Risk APIs ML Model Evaluation Product Analytics
Domain Knowledge
Fintech Consumer Banking Digital Onboarding Emerging Markets Telecom Finance

// Academic

Education

M.S. Quantitative Management: Business Analytics
Duke University — The Fuqua School of Business
Dec 2024 · Durham, NC
Strategy Track. Coursework: Data Science for Business, Decision Analytics, Data Infrastructure, Data Visualization, Operation Analytics, People Analytics.
B.Tech in Engineering
Indian Institute of Technology (IIT BHU) · Varanasi
Nov 2019
Coursework: Forecasting & Time Series Analysis, Optimization, Industrial Management. Capstone: Vehicle Routing Model.

// Recognition

Achievements

🏆
Top 0.2% — IIT JEE-Advanced (AIR 2773) Ranked among the top 2,773 candidates out of ~1.4 million in one of the world's most competitive engineering entrance examinations.
🎓
Kashi Utkarsh — Social Impact at IIT BHU Led educational initiative at IIT BHU, educating 100+ underprivileged children and building sustainable learning programs for underserved communities.

// Connect

Get In Touch

Open to conversations about risk strategy, analytics, and fintech opportunities.

✉ priyesh.singh57@gmail.com 📞 (919) 685-2016 LinkedIn ↗