Rohit Pandey

Associate Consultant

Delhi, India5 yrs 1 mo experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led successful credit product launch with $1M monthly disbursals.
  • Developed advanced fraud detection strategies improving model accuracy.
  • Created impactful data visualization dashboards enhancing decision-making.
Stackforce AI infers this person is a Fintech and SaaS professional with strong expertise in risk management and data analytics.

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Skills

Core Skills

Credit Risk ManagementData AnalyticsFraud DetectionData AnalysisData VisualizationData Engineering

Other Skills

Agile MethodologiesAngularJSApache SparkArtificial Intelligence (AI)Artificial Neural NetworksBig DataCC++CSSDBeaverData ManipulationData MiningData ScienceDeep LearningDigital Marketing

About

Having experience in analytics and development in banking and financial sector possessing cross functional skills across planning , execution , delivery and client communication. Contributed in evaluating business process , anticipating requirements , uncovering areas of improvement and developing and implementing solutions for software products using different programming language as well as analytical and data visualization tool.

Experience

5 yrs 1 mo
Total Experience
1 yr 8 mos
Average Tenure
2 yrs 8 mos
Current Experience

Comviva

Risk and Portfolio Analyst

Oct 2023Present · 2 yrs 8 mos · Gurugram, Haryana, India

  • Lead risk analysis and fraud prevention strategies, focusing on growth of the short-term credit portfolio and ensuring net yield targets above 7% for stakeholders, including Comviva, banking partners, and telecoms.
  • Implemented risk scoring, churn scoring models and customer segmentation strategies to optimize portfolio performance; integrated the models along with wallet, bureau and loan behavior data to create new segments employee, merchant, and high-value customer segments resulting in a 15% month-over-month increase in disbursals.
  • Spearheaded the credit product's launch, from pilot to full market rollout, including go-to-market strategy and collection strategies, driving a portfolio growth from $20,000 to $1 million in monthly disbursals while maintaining at least 92% repayment rates.
  • Conducted continuous monitoring of portfolio yield, rejection rates, and operational risks to maintain compliance and profitability.
  • Conducted base refreshes, credit limit optimizations at regular intervals and created segmented marketing campaigns to expand customer base and boost disbursals.
  • Engaged in commercial negotiations to determine optimal pricing for bureau services, balancing cost-efficiency with data utility.
  • Collaborated with cross-functional teams like product, data science, data engineering, tech and business to align risk management frameworks with compliance guidelines.
Credit Risk ManagementData AnalyticsMachine LearningData VisualizationProgrammingPython+1

American express

Analyst - Risk and Information

Jun 2022Oct 2023 · 1 yr 4 mos · Gurugram, Haryana, India · Hybrid

  • Specialized in fraud detection for First Party and Credit Bust Out cases within the US market, analyzing customer payment behavior to develop preemptive rules and controls.
  • Developed payment-related fraud strategies, through rule-based and model-based controls.
  • Operationalized the Check Payments system returns process by collaborating with major banks (e.g., JPMC, BOA).
  • Enhanced fraud models through feature engineering, integrating novel variables based on credit bust-out behaviors, improving model accuracy.
  • Conducted ongoing monitoring and reporting on fraud trends, ensuring continuous improvement of risk mitigation processes.
Fraud DetectionData AnalysisFeature EngineeringRisk MitigationSQL

Exl

Consultant

May 2021Jun 2022 · 1 yr 1 mo · Remote

  • Created and developed Tableau Dashboard for insurance management system like motor and personal claims utilizing data from Amazon Redshift, IBM Netezza, and AWS Athena, enhancing insight granularity and reducing decision time by 40%.
  • Collaborated in Agile teams with direct client communication, ensuring alignment with client expectations and feedback.
  • Leveraged SQL and Python to create backend data tables, integrate Pandas for data manipulation, and establish a common data model across various sources.
TableauSQLPythonData ManipulationAgile MethodologiesData Visualization+1

Education

Department of Business Economics, University of Delhi

Master of Business Administration - MBA — core

Jan 2019Jan 2021

Jaypee Institute Of Information Technology

Bachelor of Technology (BTech) — Computer Science

Jan 2013Jan 2017

Vivekanand Public School

Senior Secondary — PCM

Jan 2011Jan 2013

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