Rajvi Doshi

Associate Partner

Mumbai, Maharashtra, India5 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in credit risk scorecard development.
Strong background in statistical modeling and machine learning.
Proven track record in mentoring and training teams.

Stackforce AI infers this person is a Fintech professional with expertise in credit risk analytics and statistical modeling.

Contact

Skills

Core Skills

Credit Risk ManagementModel DevelopmentCustomer AnalyticsBusiness AnalyticsStatistical Modeling

Other Skills

AutomationBase SASBlack-ScholesC++Cluster AnalysisCustomer Segmentation StrategyData AnalysisData MiningData VisualizationDecision TreesLinear RegressionLogistic RegressionMachine LearningMarkov Chain Monte CarloMicrosoft Excel

About

Currently working on building and managing end to end credit risk scorecards for portfolio management decisions and regulatory (PD, LGD, EAD) models for retail and SME portfolios as an Associate Director in Standard Chartered Modelling and Analytics Center. My role also includes training new joiners on development methodology and guiding analysts working on the project and mentoring team members. Worked with Kotak Mahindra Bank in the Business Intelligence Unit, responsible for driving cross sell and customer engagement on the digital portfolio- 811 Savings Bank Account by building product propensity models (statistical and Machine Learning) and devising relationship management strategies around deepening & retention using customer segmentation solutions. I have a Masters degree in Statistics, with a strong academic background and programming skills (Analytical tools like SAS Enterprise Guide, SAS Enterprise Miner, SQL, R, Python, SPSS). I've previously worked with Experian and CRISIL as an intern. Having an analytical mindset and an inquisitive attitude, I am interested in research and learning new things each day from the people around me, thereby improving my skills and keeping myself updated. My aim in life is to create an impact wherever I go and to apply my knowledge in Statistics, combined with strong programming skills to help meet business goals and hence contribute towards the growth of the organization.

Experience

Standard chartered

2 roles

Associate Director

Promoted

Jul 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India

Project management and development of regulatory (PD, LGD, EAD) and decision models (application and behavioural scorecards) as well as devising credit risk, portfolio management and collection strategies for consumer and SME portfolios

Model DevelopmentCredit Risk ManagementProject ManagementStatistical ModelingData Visualization

Manager

Apr 2022 – Jul 2024 · 2 yrs 3 mos · Bengaluru, Karnataka, India

Worked on development of credit risk scorecards, portfolio diagnostics and risk decisioning for business requirements, with regular collaboration with country credit teams to solve their risk assessment problems for various new age loan products

Credit Risk ManagementStatistical ModelingProject ManagementModel Development

Kotak mahindra bank

Deputy Manager (Business Intelligence Unit)

Aug 2020 – Apr 2022 · 1 yr 8 mos · Mumbai, Maharashtra, India

Handled 811 Cross sell analytics involving collaboration with product teams to strategize innovative cross sell and portfolio deepening campaigns and to provide interpretable analytical solutions/insights for the given business problem using customer segmentation solutions and statistical/ machine learning models

Customer Segmentation StrategyStatistical ModelingMachine LearningCustomer AnalyticsBusiness Analytics

Crisil limited

Project Intern

Sep 2019 – Jan 2020 · 4 mos · Mumbai Area, India

Team- Capital Markets: Fixed Income Research
1. Valuation of Market LinkedIn Debentures
Automation and Migration of valuation process of Market Linked Debentures from VBA based process to R platform
2. Yield Based Risk Indicator
To develop a multiple linear regression framework to identify the factors impacting the Yield of a Bond and to reveal outlier trades using Mutual Funds transaction data

Statistical ModelingRegression ModelsAutomation

Experian

Summer Intern

May 2019 – Jul 2019 · 2 mos · Mumbai, Maharashtra, India

Team- Decision Analytics
I worked on the project 'Life Insurance Propensity Model' using unsupervised machine learning technique - k prototype clustering.
Software: SAS, R, Python and MS Excel

Machine LearningStatistical ModelingData Analysis