Lal Chand Verma

CEO

Gurgaon, Haryana, India16 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led global data science initiatives in banking.
Established innovative machine learning models.
Recognized for excellence in risk management.

Stackforce AI infers this person is a Fintech expert specializing in quantitative risk management and data science.

Contact

lalchand.verma@bofa.com LinkedIn

Skills

Core Skills

Data ScienceMarket Risk ManagementQuantitative TradingSoftware Development

Other Skills

AnalyticsAutomationBloombergBusiness AnalysisCapital MarketsCorporate FinanceData AnalysisData ArchitectureData EngineeringDerivativesEquitiesFinanceFinancial AnalysisFinancial ModelingFixed Income

About

Experienced Data Science Leader, cutting edge Technology enthusiast and market risk management expert, Vice President - Quantitative Services with a demonstrated history of leading at various roles in the financial services industry. Skilled in setting up new groups/work, providing solutions, developing POCs to business problems. Strong problem solving attitude and innovative mind set with MBA from IIM Lucknow and was part of international exchange program from Toulouse Business School France. Pursued 5 year Integrated M.Tech. in Mathematics and Computing from IIT Delhi. Holds a FRM certification. Experience across various areas including machine learning, business and data analytics, quantitative modelling & quantitative trading strategies, trading, stress testing, scenario analytics and methodologies, market risk management, Value at Risk etc. Has an experience of working across asset classes such as Equities, Fixed Income, Rates and FX markets

Experience

16 yrs 9 mos

Total Experience

4 yrs 2 mos

Average Tenure

10 yrs 3 mos

Current Experience

Bank of america

4 roles

Vice President -Quantitative Services

Jan 2025 – Present · 1 yr 3 mos

Heading Global Markets group which works on revenue models of various businesses as well as automation projects. There are data architecture and pipelines related projects across global markets.
Head of Data Science Group which is working on machine learning models of global banking operations across model development life cycle; Working on building strategic solutions, automation of procedures and implementation, model performance assessment and monitoring. working on application development and research..
Leading another group which is working on SIMM Risk Validation for UMR.
Leading key pillars in Data Management workstream.
Leading tool building initiatives to streamline processes.

Machine LearningData ArchitectureAutomationModel DevelopmentRisk ValidationData Science+1

Vice President - Quantitative Services

Promoted

Jan 2020 – Dec 2024 · 4 yrs 11 mos

Head of Data Science Group which is working on machine learning models of global banking operations across model development life cycle; Working on building strategic solutions, automation of procedures and implementation, model performance assessment and monitoring. working on application development and research.
Heading another group which works in global markets including revenue models of various businesses as well as automation projects.
Leading another group which is working on SIMM Risk Validation for UMR

Machine LearningData ArchitectureAutomationModel DevelopmentRisk ValidationData Science+1

Assistant Vice President - Quantitative Services

Promoted

Feb 2018 – Jan 2020 · 1 yr 11 mos

Setup a new group (Data Science Group) which has started working on Machine Learning models, Classification techniques, Robotics Process Automation, Underwent relevant Trainings; Developed Proof of Concepts using Classification algorithms.
Set up and managed a new group (Client Valuation Group);
Built a team which has developed a fuzzy logic based in-house tool and implemented it for various use cases.
Led another group working on Risk Validation for UMR, SIMM Methodology, risk controls;
Won Innovation Award 2018 at Global level, also given another award for Fuzzy logic implementations;
Involved in Article & White Paper Writing, mentoring

Machine LearningRobotics Process AutomationFuzzy LogicRisk ValidationData ScienceMarket Risk Management

Senior Manager - Quantitative Services

Nov 2015 – Jan 2018 · 2 yrs 2 mos

Setup and managed a new team which worked on risk validation across asset classes for Uncleared Margin Requirements (UMR). Independent Amount Calculation is a requirement of Dodd-Frank and uses SIMM Methodology.
Explored and carried research in new areas including pattern recognition
Recognized the excellent performance by various Awards, consistently over time series.

Risk ValidationResearchPattern RecognitionMarket Risk Management

Nomura

Senior Associate - Stress Methodology

Sep 2013 – Nov 2015 · 2 yrs 2 mos · Powai

Worked in Scenario Methodology team for Rates and FX.
Worked on FDSF as part of PRA requirements AND Fed Ccar requirements.

Scenario MethodologyStress TestingMarket Risk Management

Hedge fund

Senior Quant/Trader

Apr 2013 – Sep 2013 · 5 mos · Singapore

Role:
Traded Investment grade and High Yield papers in US and Indian Debt Market.
Traded pairs of equity derivatives (futures primarily) for different sectors like banking.
Coordinated with different brokers for paper quotes in Indian Debt Market and traded on them.
Implemented Futures Strategies (Fresh Arbitrage, Short Roll and Reverse Arbitrage).
Analyzed Debt instruments for Credit Risk using Cash flows and post leverage return.
Involved in Investor Interaction related activities like presentations, performance follow-up, investor notes and analyzing proposals.
Implemented order platform with bond universe analytics & trading activities for USD Bonds using Bloomberg, R and Excel VBA.
Achievements:
Proposed and Created a portfolio meeting the constrainsts for newly launched INR Bond Fund.

Trading StrategiesRisk AnalysisInvestor InteractionQuantitative Trading

Hedge fund

Quant

Apr 2012 – Jun 2012 · 2 mos · Singapore

Role:
Worked on a Trading Strategy based on Wavelets to Predict Future Value of an Index and implemented it
Implemented a Trading Strategy based on Options Volumes & Ratios to Predict Future Value of an Index
Achievements:
Awarded Pre Placement Offer (PPO) after Internship
Awarded Bonus for Outstanding Performance

Trading StrategiesWavelet AnalysisQuantitative Trading

Indus valley partners

Software Engineer/Business Analyst

May 2007 – Apr 2011 · 3 yrs 11 mos · New Delhi Area, India

Role:
Incorporated different Security Types (Equity, Bonds, Derivatives) into Hedge Fund Securities Systems
Interpreted Bloomberg Feeds & Pushed Prices Data into a Portfolio Accounting System (Geneva)
Analyzed the Position, P&L, Trade or Cash Data using SQL queries to Resolve EOD Breaks with Prime Broker
Designed data scenarios to perform User Acceptance Testing and validation of Reconciliation, Security Master and Reference Data Systems.
Automated Scenarios and Data Validation using VB Scripting in Quick Test Professional Tool (QTP).
Implemented various features and fixed bugs in C# (.NET) for Reconciliation, Securities Master Systems.
Implemented an XML parser for implementing features of a Reference Data System.
Documented business scenarios, functional requirements and user manuals for various tools used in Capital Market.
Achievements:
Awarded ESOPs, Highest Bonus, Best Performance and 3 Month Salary as Retention Award for Excellent Performance
Received appreciation for features and improvements recommended as Business User.
Worked on multiple projects at a time and in various teams (Development, Migration, Implementation and Data)

Data AnalysisAutomationVB ScriptingSoftware Development

Rites ltd

Trainee - Software Developer

May 2005 – Jul 2005 · 2 mos · Gurgaon, India

Role:
Built a tool in VB for inventory management.
Gathered requirement for an Inventory Management System for the organization across departments
Achievement:
Successfully implemented inventory management system and process became efficient by 40%.

VB ProgrammingInventory Management