S

Saurebh Siyal

CEO

Bengaluru, Karnataka, India11 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over 9 years of experience in business analysis and credit risk modeling.
  • Expert in leveraging data to drive business strategy and maximize ROI.
  • Proven track record in scaling fintech products and improving conversion rates.
Stackforce AI infers this person is a Fintech expert with strong capabilities in data analytics and business strategy.

Contact

Skills

Core Skills

Data AnalyticsBusiness AnalysisData ScienceBusiness Analytics

Other Skills

A/B TestingAcquisition StrategyAnalytics Roadmap & SolutionsBusiness IntelligenceBusiness Intelligence (BI)Business Intelligence ToolsBusiness MetricsBusiness Metrics DefinitionBusiness Process ImprovementBusiness RequirementsChange ManagementCollection StrategyCollections StrategyConsultingConversion Rate Improvement

About

I love solving challenging business problems by leveraging data and analytical tools to analyse and drive key business metrics and decisions, optimise funnel conversion and improve business strategy to maximise ROI through various statistical and analytical methods. With over 9+ years of experience in business analysis, lending and credit risk modeling, and collections strategy in banking and financial services across India and South east asia, I'm always looking for the next big challenge to solve for! Fintech | Payments | Lending | Savings

Experience

11 yrs
Total Experience
1 yr 10 mos
Average Tenure
3 yrs
Current Experience

Wagely

Head of Business Intelligence

Jun 2023Present · 3 yrs · Bengaluru, Karnataka, India · Hybrid

Fi

Senior Business Analyst

Nov 2020Jun 2023 · 2 yrs 7 mos · Bengaluru · On-site

  • >Scaled the lending analytics at Fi efficiently from 0-1 and beyond launch; led the growth and credit risk for Credit Card and Personal Loan portfolios along with establishing the v0 for collections operation strategy.
  • > Worked on 400+ server and client-side events to track users app journey. Leveraged this data to define, build and monitor 80+ key business metrics to drive strategic business decisions.
  • > Built a rich analytical data layer with the ability to deep dive and optimize the funnel
  • at each stage.
  • > Showcased excellence in building the Acquisition and app onboarding process along
  • with XFN teams to scale from 0-2.5M+ users in <12 months. With a key focus on boosting growth and driving conversion, worked extensively along with PMs and Marketing to improve the overall conversion rate by ~25%
Lending AnalyticsCredit RiskUser TrackingBusiness MetricsData Layer OptimizationAcquisition Strategy+3

Axio

2 roles

Senior Data Scientist

Promoted

Apr 2019Aug 2020 · 1 yr 4 mos · Bangalore

  • [Credit Risk Modelling and Collections Strategy]
  • Created and implemented ML models which predicted the propensity of rollback/repayment of a customer, reducing flow rates by 24% and improved collections efficiency on high-risk segments.
  • Conducted A/B Tests on delinquent portfolios and built a Collections Priority Index Model to recommend treatment of actions to collection agents to strategically prioritise delinquent cases and improve collections efficiency by 33%.
  • Implemented and managed new credit policy and collection strategies to reduce NPAs by 15% for the consumer lending vertical
  • Lead and collaborated with XFN teams to build and automate cross-sell policies for personal loans to existing SME users, helping increase revenues by 12% #KPI
Machine LearningCredit Risk ModellingCollections StrategyA/B TestingData AnalysisCross-Sell Policies+2

Data Scientist

Aug 2015Mar 2019 · 3 yrs 7 mos · Bangalore

  • [Business Analytics]
  • Defined and instrumented 50+ business metrics and 10+ north star metrics. Built dashboards and scorecards to monitor end-to-end business activities from customer acquisition to customer repayments to track growth and risk
  • Built strategies on the best date for representation, best address, and used alternate data to improve the contact rate by 18% for delinquent customers across SME & Consumer lending portfolios.
  • Designed a Smart Early Warning System based on the bureau data to trigger alerts about delinquent customers who are going bad in other BFSI and are likely not to pay back
Business Metrics DefinitionDashboard CreationCustomer Acquisition StrategyEarly Warning System DesignBusiness Analytics

Nearex technologies

Business Analyst

Jul 2016Oct 2016 · 3 mos · Bangalore

Indian institute of management, bangalore

Research Intern

Mar 2014Sep 2014 · 6 mos · Bangalore

Education

Visvesvaraya Technological University

Bachelor's Degree — Instrumentation Technology

Jan 2011Jan 2015

Christ College - Bangalore

Associate's Degree

Jan 2009Jan 2011

JSS Public School

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