A dedicated data science professional with 8+ years of experience in statistical modelling, risk scorecards, regulatory models and analytical consulting. I have dedicated my career to helping stakeholders/clients by delivering meaningful insights driven by large volume of reliable data and enabling them in making impactful business decisions through effective organization, prioritization, and execution of key projects.
Overview
9
9
years of professional experience
Work History
Manager
Equifax Analytics
09.2024 - Current
Consulting with KSA Bureau: Developed product-specific acquisition score for the leading credit bureau in Kingdom of Saudi Arabia (onsight assignment). Headed the assignment, from sampling strategy to data requirement, attribute mart creation to segmentation to developing and implementing the scorecard on client platform. Gained insights on the mortgage market of KSA.
Consulting with lead bureau in UAE: Leaded a team of five analysts to successful delivery of consumer bureau score and cheque score for credit bureau of UAE. Helped in delivery of model monitoring tool – an automated platform for seamless monitoring and risk management of all bureau scorecards in use.
Assisted the independent model validation for the delivered scorecards and inception of Go-to-market strategy for the same.
Consulting with lead bank in Fujairah: Assisted in delivering the risk rating (RR) scale for a top bank in Fujairah. Conceptualised and delivered the statistical tests to assess the effectiveness of the proposed risk rating scale that the bank will use to categorise it’s lenders in the future.
Lead the initial data exploration and sufficiency check for the re-development of Equifax Bureau score for commercial portfolio.
Associate Director
Standard Chartered Bank
03.2022 - 08.2024
Developed IFRS9 model for mid-corporate obligors across the MENA region independently. The model achieved an RR1 rating, contributing to more efficient RWA (Risk-Weighted Asset) calculations. It has demonstrated strong performance across all KPIs over three consecutive monitoring cycles.
Automated Monte Carlo simulations in Python to estimate expected cashflows for the in-house Project Finance model. This implementation improved reproducibility and computational efficiency, especially for expanding portfolios.
Contributed to the development of a consumer bureau module within the IRB PD (Probability of Default) model, targeting sole proprietorship clients in Korea.
Lead the development of an IRB PD model for mid-sized corporates in South Asia. Conducted successful sessions with lead Economists of every region to identify the key macro-economic factors and understand the economic cycle. Delivered a robust model that reflects the high-risk nature of the regional portfolio.
Played a key role in data preparation and migration efforts during the transition to a modernized data platform. Mentored interns from the International Graduate Program, preparing them for industry roles.
Provided extensive support to the independent validation team, including OOT (Out-of-Time) testing, impact assessments, and ad hoc analyses for a mature portfolio, gaining in-depth domain knowledge.
Familiar with expert-based Project Finance models, including the unique characteristics and risk attributes of the portfolio.
Senior Associate
Grant Thornton
06.2021 - 03.2022
Transaction Monitoring Rules Development in designing and implementing transaction monitoring rules for financial institutions in alignment with regulatory frameworks, including FinCEN, FDIC, and Wolfsberg Group guidelines. Ensured risk-based rule coverage across multiple customer risk tiers and transaction types.
BSA/AML Compliance & Platform Validation and extensive hands-on experience validating BSA/AML transaction monitoring rules on platforms such as Abrigo, Patriot Officer, and Verafin. Evaluated system logic, threshold tuning, and scenario effectiveness to ensure compliance and minimal false positives.
Credit Risk Modeling for CECL and proficient in developing and validating Probability of Default (PD) and Loss Given Default (LGD) models under the Current Expected Credit Loss (CECL) framework. Ensured models reflect institution-specific risk characteristics and regulatory expectations.
Macroeconomic Factors for CECL models led engagements focused on the evaluation of quantitative and macroeconomic factors affecting credit loss estimates. Contributed to scenario design, sensitivity analysis, and qualitative adjustments.
Sageworks Platform Expertise with practical experience in configuring and utilizing the Sageworks (Abrigo) platform for CECL model implementation, including portfolio segmentation, economic forecasting integration, and model documentation.
Assistant Manager
HSBC
09.2019 - 06.2021
Independent Development of Financial & Qualitative Credit Module which led the end-to-end development of a financial and qualitative risk assessment module for the mid-sized corporate portfolio of a commercial bank. Activities included data cleaning, structuring, univariate and multivariate analysis, and the application of machine learning models to derive predictive insights.
Model Monitoring & Recommendation Delivery to independently managed the performance monitoring of multiple group-wide risk models, delivering recommendations on continued model usage. Evaluated models based on statistical performance indicators and business applicability, ensuring ongoing alignment with regulatory standards.
Annual Model Sustainability Assessments to conduct annual model review exercises to assess the long-term viability of models, combining statistical stability metrics with a review of compliance against regulatory requirements (e.g., Basel III, SR 11-7, and internal policies).
IRB Model Remediation & Regulatory Compliance (HSBC – EBA Guidelines) Actively participated in Internal Ratings-Based (IRB) repair initiatives for global wholesale credit risk models at HSBC. Evaluated model compliance with the updated EBA guidelines, specifically focusing on: Definition of Default (CRR Article 178), Probability of Default (PD) Estimation, Loss Given Default (LGD) Estimation, Treatment of defaulted exposures and cure periods.
Leadership & Editorial Contributions in engaging actively in core committee activities to foster leadership among early-career professionals. Served on the editorial board of the internal monthly publication, ‘GRAffiti’, contributing to content strategy, editorial review, and team coordination.
Analyst
CRIF Solutions Private Limited
05.2017 - 07.2019
Loan Origination & Behavioral Scorecard Development to design and implement various credit risk scorecards including loan origination, bureau-based, lookalike, and expert judgment scorecards across retail and SME portfolios such as housing loans, business loans, microfinance, auto loans, and personal loans. Supported financial institutions across India, Southeast Asia, and Lebanon in making data-driven underwriting decisions, particularly for marginal credit segments.
Sector-Specific Financial Ratio Modeling to developed models to forecast key financial ratios across sectors like agriculture, construction, and metallurgy, allowing clients to quantify and compare sector-specific risk. Supported strategic portfolio allocation and credit exposure management.
Benchmarking & Competitive Intelligence Reporting to create portfolio benchmarking reports for personal loans, auto loans, mortgages, and credit cards across major Middle Eastern banks. Enabled SWOT analysis and peer performance evaluations to support strategic risk planning and product positioning.
Macroeconomic Stress Testing & Default Prediction to re-calibrate macroeconomic models used to forecast default probabilities under stress scenarios for a top-tier bank in the Philippines. The revised models led to more accurate reserve planning, saving the client millions in overprovisioned reserves by improving capital efficiency.
Collections Strategy & Scorecard Development as well as designed and implemented a collections scorecard and strategy framework for a leading bank in the Philippines, optimizing delinquency management and improving recovery rates through data-driven prioritization and segmentation.
Credit Bureau Expertise (India) led to in-depth knowledge of Indian credit bureau operations, including understanding of products, data structures, inconsistencies, and data correction processes. Used bureau data extensively for scorecard design and policy tuning.
Trainee Decision Scientist
Mu-Sigma
10.2016 - 04.2017
Data Cleaning, Visualization & Business Insights and collaborated within a cross-functional team to perform data cleaning and exploratory data analysis using SQL, followed by the development of interactive Tableau dashboards. These dashboards enabled clients to track employee performance metrics and derive actionable insights, ultimately driving improved customer satisfaction and more profitable decision-making.