Anshul Kwatra, FRM, CQF

Associate Consultant

Dubai, United Arab Emirates7 yrs 3 mos experience

Key Highlights

  • Over 7 years of experience in risk analytics.
  • Expert in building credit and market risk models.
  • Certified FRM professional with extensive regulatory knowledge.
Stackforce AI infers this person is a Fintech professional specializing in risk analytics and quantitative risk modeling.

Contact

Skills

Core Skills

Quantitative RiskRisk Modeling

Other Skills

Algorithm DesignApplied mathematics (fuzzy, heuristics)CCounterparty RiskCredit Risk Modeling ToolsCredit riskData AnalysisData ModelingMachine LearningMachine learning(Supervised)MatlabMicrosoft ExcelMicrosoft OfficeMongoDBNumerical Optimization

About

Anshul is a Certified FRM professional who has completed his bachelors in technology with major in computer science. He has more than 7 years of professional experience working with banks, financial institutions and proven expertise in estimating, quantifying and mitigating different risk measures financial institutions are exposed to. With advancement in his career around risk analytics space, He has acquired quite extensive knowledge of building credit and market risk models such as scorecards(Application/Behavioral), IRB(PD, LGD, EAD), VaR , Expected shortfall and regulatory compliance such as BASEL III/IV. Technical Competences: Python, R, Matlab, SQL/NoSQL, Statistical Modelling, Numerical Optimization, Machine learning(Supervised) and Applied mathematics (fuzzy, heuristics).

Experience

Dib

Asst Manager - Risk Modelling & ICAAP

Nov 2025Present · 4 mos · Dubai, United Arab Emirates · On-site

Solytics partners

2 roles

Risk Management Manager

Apr 2025Sep 2025 · 5 mos · Riyadh, Saudi Arabia · On-site

  • ● Led the end-to-end delivery of the ILAAP framework for a Saudi bank in line with SAMA requirements, streamlining regulatory ratios (LCR, NSFR etc.), Pillar 2 risk drivers, board/management limit setting, liquidity stress testing, and contingency funding planning, while coordinating with Finance, ALM, Internal Audit, and Validation teams.
  • ● Managed Pillar 1 RWA and Capital computation for Market Risk and ALM, covering SA-CCR, Repo RWA (CRM technique), and Pillar 3 disclosures for quarterly regulatory compliance. Validated internal frameworks, streamlined processes, and led Liquidity Risk Stress Testing (Q2 2025) for Saudi based bank.
Stakeholder EngagementData ModelingQuantitative RiskRisk ModelingCounterparty RiskCredit Risk Modeling Tools+16

Senior Quant Consultant

Sep 2023Apr 2025 · 1 yr 7 mos · Riyadh, Saudi Arabia · On-site

  • ● Validated the ICAAP framework for a UAE-based bank, covering Pillar 1 (credit, market, operational risk) and Pillar 2 (liquidity, IRRBB, concentration, strategic risks). Assessed capital adequacy under baseline and stressed scenarios, governance, risk appetite alignment, and internal controls to ensure regulatory compliance with UAE Central Bank ICAAP guidelines.
  • ● Led the end-to-end development of IFRS 9 ECL models (PD, LGD, EAD) including data preparation, default definition, segmentation, and SICR staging design, while establishing a robust governance framework for post-model validation, performance monitoring, overlays, and regulatory compliance (SAMA), in collaboration with Risk, Finance, and Audit stakeholders.
  • ● Delivered regulatory-compliant Credit Risk and Counterparty Credit Risk solutions, including the validation of identity fraud and credit models using CAP, ROC, KS, Gini, Brier Score, Binomial, and HL tests.
  • ● Built a Python-based SA-CCR EAD calculation tool for a Saudi bank, ensuring full alignment with SAMA requirements and enhancing efficiency and model accuracy.
Stakeholder EngagementMachine LearningData ModelingRisk ModelingPython (Programming Language)Quantitative Risk+3

Kpmg india

Consultant - Financial Risk Management

Feb 2021Jul 2023 · 2 yrs 5 mos · Gurugram, Haryana, India

  • Devised and executed a robust Potential Exposure (PE) backtesting methodology to evaluate counter party credit risk
  • IMM(CCR-IMM) models in both OTC and Exchange-traded derivatives as a part of regulatory requirement(PRA/BAFIN).
  • The scope of the process involved the development of a sample selection methodology, the automation of backtesting
  • procedures for market factors, trades, and portfolios, and conducting comprehensive failure analysis.
  • Contributed to the analysis of time series data for the quarterly calibration process, meticulously identifying and addressing
  • irregularities such as outliers, missing data, and staleness to ensure data integrity and reliability.
  • Offered valuable support for the periodic re-calibration of model parameters, conducting comprehensive quarterly calibration
  • parameter monitoring analysis, and presenting findings to senior management. This analysis encompassed a thorough
  • comparison of calibration model parameters by utilizing rigorous statistical tests such as Fischer’s Z test, F test, and Wald test.
  • Implemented automated processes for generating quarterly backtesting reports, which were effectively presented to senior
  • management and submitted to regulatory bodies including PRA and BaFin
  • Engaged in the recalibration of revolving exposure at default models specifically designed for corporate credit risk customers,
  • meticulously documenting the outcomes. The process encompassed calibrating the model output using the most up-to-date
  • available data, including activities such as data extraction, data cleaning, exploratory data analysis, model fitting, and thorough
  • output comparison. Rigorous testing of the model was conducted, with particular emphasis on relevant features such as Credit
  • Conversion Factor (CCF), Loss Given Default (LGD), and Exposure at Default factor (EADF).
Stakeholder EngagementPythonData ModelingRisk ModelingPython (Programming Language)Quantitative Risk+2

Cholamandalam investment and finance company limited

Assistant Manager- Analytics

Aug 2019Feb 2021 · 1 yr 6 mos · Chennai, Tamil Nadu, India

  • Responsible for Developing, Implementing and Testing of credit scoring models for different product types in Vehicle finance.
  • Deeply involved in quantifying different measures of risk(s) involved in process lead procurement to loan disbursement through stress testing.
  • Uses statistical modeling and exploratory data analysis to clean, handle and extract information from loan books.
Stakeholder EngagementData ModelingRisk ModelingPython (Programming Language)Quantitative Risk

Indxx

Financial Analyst

Jul 2018Jul 2019 · 1 yr · Gurgaon, India

  • Responsible for developing and implementing automation scripts to test index calculation engines for clients spread across europe.
  • Involved in the product development team to develop a Quant Index for gold mining companies and used different statistical tools to achieve the end results.
Python (Programming Language)

Lodz university of technology

Research Assistant - Applied Mathematics

Jan 2018Jun 2018 · 5 mos · Łódź, Łódzkie, Poland

Education

BML Munjal University

Bachelor of Technology - BTech — Computer Science

Jan 2014Jan 2018

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