Summary
Overview
Work History
Education
Skills
Work Experience
Software
Timeline
Generic
Anurup Dey

Anurup Dey

Engagement Manager Banking Credit Risk
Gurgaon

Summary

  • Engagement management professional with proven track record of 18+ years delivering tailored solutions in the world of decision analytics. Known for strategic mindset and ability to drive project on research and strategy enhancement and solutioning.
  • Rich knowledge of financial and risk management domains such as credit cards, loans (secure and unsecured lending and overdrafts) in Global BFS , Fintech and Insurance (auto and healthcare). Associated with Model Risk Assessment and Governance teams, Risk Strategy Development (Machine Learning and Scorecards) and Model Validation teams, Data Analytics and Insights teams for major BFS and NBFS

Overview

19
19
years of professional experience
4020
4020
years of post-secondary education

Work History

Engagement Manager –Retail Credit Risk Analytics

EXL Inductis India Pvt. Ltd.
03.2015 - Current
  • Company Overview: Global operations management and analytics consulting company that provides business process solutions to clients across industries
  • Delivery and Engagement Lead for Risk Strategy, Research and Development
  • Have supported multiple BFS majors and leading Fintech across UK, EMEA and SA geography for secured, unsecured and transactional products including overdrafts
  • Prescribed and developed strategies thus far, have benefited to enhances business growth in form of swap-ins and swap-outs in Acquisitions, enhances customer experience and correspondence in Customer development and HRAM strategies, reinvents the collections landscape for more pointed collection/contact strategies. This reinvention would the bank save in millions annually
  • Worked closely with product development as data insights SME to assist in generating the right columns that would value-add, scanning customer bank statements. This was further utilized in acquisition model which gave a revenue of 30 million
  • Collaborated with sales teams to identify new business opportunities (RFPs) and expand the company''s client base.
  • Collaborated with VPs in order to expand business through prospecting, understanding the partner requirement, solutionizing and follow-up activities.
  • Building a customer personification segmentation model using Machine Learning methodology which could cater to cross functional strategies such as up/cross sell campaigns, HRAM strategies viz. CLI/CLD, contact strategies, etc.
  • Led the migration of SAS based legacy system to make it leaner, efficient, evolutionise and ensure Google Cloud (GCP) migration ready. It also involved transformation of existing model development codes to compatible scripts. Helped in cleanup of 35% redundant model development data created during the development phase and never used thereafter.
  • Guided and devised a solution to identify a quick fix and plan the stakeholder engagement programme across business functions including the Functional Roadmap Architecture for data migration needs
  • Worked and led Model Monitoring, Model Validation, Model Risk Management and Data Engineering and Data Visualization platform across the risk spectrum
  • Responsible for building a OneData solution for all risk development teams, to ensure ease of data management assisting both model development and model validations
  • Performed Project Manager role to manage cost and margins discussions, team revenue and recruitment. Cultivated a culture of collaboration within the team, enabling seamless execution of project deliverables at each stage of the engagement process.
  • Architectured and guided the team through a credit card discounting ensemble model/solution which aided business to avert spending half a millions in local currency per month on unsupervised discount provisioning to consumers
  • Guided transaction fraud analytics team in enhanced reporting and created analytical insights on agent behavior and risk patterns as indicative strategies
  • Have managed forums, key stakeholder discussions and BAU presentations. Also key member in the talent acquisition and management process. Been the relationship manager of major under-grad and post-grad schools in the annual hiring process
  • Implemented data-driven strategies for continuous improvement of engagement services, leading to improved performance metrics. Been involved closely in Risk and Regulatory reporting optimization and also in collections operations prediction

Assistance Consultant – Centre of Excellence Analytics (Insurance and Healthcare)

Tata Consultancy Service
05.2011 - 02.2015
  • Company Overview: Largest Indian multinational and consulting company
  • Conceptualized a claims filtering system and collaborated with cross-functional teams to successfully deliver comprehensive solutions for clients.
  • Build regression models to predict the incurred loss on late payments of claims for a leading US Healthcare group
  • Created the business scenario, understanding the void in the payer claims handling structure
  • Worked with a team of 11 members on a Vendor evaluation project for 8 weeks to convert a given problem/challenge by prospectus US insurance client
  • Collaborated with cross-functional teams to successfully deliver comprehensive solutions for clients.
  • Built Driver Portfolio Analysis for a U.S.-based Auto Insurer by segmenting drivers into clusters and drawing insights reading the Telematics data
  • Developed an ensemble model combining Cluster Algorithm, Logistic Regression, and Decision Tree to solution the most suitable next car for customers, performing extensive research on public domain data

Senior Developer – HR Analytics and Reporting

Aon Hewitt
07.2007 - 03.2011
  • Company Overview: Pioneers in human capital and management consulting services
  • Senior Model Developer for Analytics reporting for a global leader in Food and Beverages Industry
  • Algorithm based model to segment leaves and payment claim relevance, MI reporting and data assessments of global reports on vehicle movements and supply management

Technical Support Officer

Convergys Solution
12.2005 - 06.2007
  • Technical Support specialist for a major US internet and telecom service provider Technical Support specialist for a major US internet and telecom service provider

Education

Certification in Decision Science and Business Analytics -

Indian Statistical Institute
Kolkata

Bachelors in Engineering -

VTU
Belgaum, Karnataka

Skills

Machine Learning and Gen AI Modeling

Risk Strategy and Risk Management

Analytics Product Solutioning

Stakeholder and Partner Engagement

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Work Experience

Worked with senior stakeholder including Chief Risk Officers (CRO) on multiple fronts varying from strategic development, risk conferences and solution presentations for a couple of leading BFS companies., Exchanged ideas and solutions with Chief Technology Officer (CTO) on a complex migration project., Ensured optimal exchange of information and communication for best possible and prioritized solutions., Synthesized weeks/months of work into deliverables which succinctly conveys the key insights and actionable., Coordinated and managed risk forums and business review meetings to decision upon model and strategic implementations and progress plans., Managed strategic projects/initiatives, which required cross team brainstorming for building solution and implementation. Encouraged conflicting ideas to obtain the robust solution catering to a larger need., Hosted and initiated project advancement and optimization discussions engaging risk and governance teams to enable efficient and value through analytics ideas and processes., Managed audit and governance teams for smooth flow of deliverables and maintenance., Managed 25 member in BFS client environment which comprised of Model Development, Application and ECM Risk Strategy, Monitoring and Validation and Fraud Reporting., Managed both onshore and offshore teams and deliverables., Thorough ownership of projects beginning with requirement gathering, business understanding, story boarding, team discussions, developing hypothesis, stakeholder management, solution designing, presentations and implementations planning., Identified areas of analytical interventions for innovative solutions across organization., Managed resourcing, career planning and growth, knowledge sharing for quality deliverables provided by the team., Critical and complex management – For a migration project for the Model Monitoring team (14 member) where there was no reporting or monitoring framework. Managed stakeholder expectation alongside the team and built a sustainable yet robust process and framework for effective governance., Built Underwriting and ECM scorecards for improved risk segmentation and mitigation for leading credit card and retail loan providers (mostly unsecured)., Understood the portfolio requirement and challenges to manage timelines., Learnt and assessed exiting models and their deviations from actuals, for improved computation and approach., Conceptualized and formulated possible methodology and validation challenges prior to final solution., Built champion challenger models for cross validation., Created analytical insights on consumer behavior and risk patterns as indicative strategies., Constructed implementation codes and presented in the forum., Solution architect for IFRS9 Development team along with a 4-member team., Interpret stakeholder requirement and formulated best to their expectation to understand vintage analysis to understand the lag effect of macro-economic parameters., Transformed a typical roll rate-based analysis to more meaningful number-based calculation to fit the changing needs for a scarcely populated portfolio., Designed substitution validation methods for products with low event rates., Created Times Series based forecasting modules for MTP analysis, but understood its drawback under underestimation upon team discussions. Replaced with Exponential analysis for more accurate outcomes as part of conflicting brainstorming of solution., Currently building an Early High Risk indicator model for credit card portfolio. This will be implemented on High-Risk Account Management (HRAM) strategy to detect asset risk. The model is capable of capturing more that 70% probable HR accounts early, saving about 70 million in asset value for the Bank., As a part of BCBS239 reporting, leading and building reports to test the data submitted by the Bank to the bureau for all Unsecured products. Was involved in end-to-end coding and creating the reporting framework to flag the difference and also analyze and report the reason comparing different data sources. This will prevent the Bank from financial losses in terms of penalties the Bank has to incur due to incorrect submissions., Working with a 10-member Strategy team to create a current pandemic-based risk assessment to understand customer patterns using demographic and bureau data, which prevent possible leakage of stocks., Designed and developed a Promotional Discount product to assess customer profitability and predict the discount that should be given considering customer retention as an important tool in decision making. This helped save about half a million USD annually which was initially going beyond budget., Strategizing on a customer feedback-based assessment for better customer handling for Operations representatives., Conceptualized aggressive risk mitigation strategies by enabling mandates and approaches on its validation., Connected with product specialist to learn over different aspects to implement like strategies for optimal outcome largely focusing on risk mitigation., Working with the Fraud reporting team for improved reporting on Fraud agents on productivity and accuracy., Lead the BAU engagements for both application/ECM and collections strategy., Understanding on pricing of Personal Loans and rate assessment with changing needs., Lead and supported a 13-member Model Monitoring team and covering all risk aspects of both Retail and Corporate banking as well as Fintechs., Lead an end-to-end monitoring process automation for risk free reporting structure saving 40% of manual intervention and reduced resource time., Introduced innovative and more meaningful KRIs and segmentation for business validations and also insightful to Development teams., Managed client presentations at monthly forum meet and channeled discussion for productive outputs., Led an Analytics team to create multiple PoCs and PoVs across insurance and healthcare domains., Build regression models to predict the incurred loss of late payments of claims for a leading US Healthcare group., Created the business scenario, understanding the void in the payer claims handling structure., Worked with a team of 11 members on a Vendor evaluation project for 8 weeks to convert a given problem/challenge by prospectus US insurance client., Driver profiling for an US based Auto Insurer., Segmentation of driver into risk categories based on clustering and further profiling the driver characteristics using Telematics data., Also formulated a scoring technique to align a risk grade to drivers., Auto Recommendation Engine., Created an ensemble of models using Cluster algorithm, Logistics Regression, Decision Tree to finally recommend customers of their next best suitable choice of car., Intensive research through different geographies to understand best buying models, discussing with stakeholder and design team to understand the implementation challenges was a rewarding experience.

Software

SAS

Python

SQL

Oracle

Teradata

DBT

Airflow

JIRA

Confluence

Google Cloud Platform (GCP)

Timeline

Engagement Manager –Retail Credit Risk Analytics

EXL Inductis India Pvt. Ltd.
03.2015 - Current

Assistance Consultant – Centre of Excellence Analytics (Insurance and Healthcare)

Tata Consultancy Service
05.2011 - 02.2015

Senior Developer – HR Analytics and Reporting

Aon Hewitt
07.2007 - 03.2011

Technical Support Officer

Convergys Solution
12.2005 - 06.2007

Certification in Decision Science and Business Analytics -

Indian Statistical Institute

Bachelors in Engineering -

VTU
Anurup DeyEngagement Manager Banking Credit Risk