Suvichar Sharma, FRM

Vice President - Quantitative Finance, Vichara Technologies
Gurgaon, Haryana,India
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Who Is Suvichar Sharma, FRM?

Total Experience13 years
CompanyVichara Technologies
CountryIndia

Suvichar Sharma is a seasoned financial risk professional with over a decade of experience specializing in quantitative risk management, predictive modeling, and data analytics within the financial services industry. Holding the prestigious Financial Risk Manager (FRM) certification, he possesses deep expertise in developing, validating, and implementing sophisticated risk models for credit risk, market risk, and operational risk. Suvichar is adept at leveraging advanced statistical techniques and machine learning algorithms (using tools like Python and R) to derive actionable insights from complex datasets, thereby supporting strategic decision-making and ensuring regulatory compliance. He has a proven track record of leading cross-functional teams and delivering impactful solutions that enhance risk frameworks and optimize capital allocation for financial institutions. Passionate about the intersection of finance, technology, and data science, he often explores innovative approaches to tackle emerging risk challenges.

How Did Suvichar Sharma, FRM's Career Path Shape Their Journey?

Suvichar Sharma, FRM's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

Vichara Technologies - Vice President - Quantitative Finance(2025 to Present)
KPMG GLOBAL SERVICES (KGS) - Assistant Manager - Independent Price Verification(2018 to 2021)
HSBC Global Banking and Markets - Assistant Manager(2014 to 2016)
Polaris Financial Technology Limited - Assistant Manager(2013 to 2014)
Dr. Lal PathLabs - Intern(2012 to 2012)

What Are Suvichar Sharma, FRM's Key Achievements?

Certified Financial Risk Manager (FRM)

Awarded by the Global Association of Risk Professionals (GARP), this certification signifies a mastery of risk management concepts and their application in the financial industry.

Development of Advanced Credit Scoring Model

Led a team to design and deploy a machine learning-based credit scoring model that improved prediction accuracy by 15% and reduced potential loan defaults for a major financial institution.

Implementation of Basel III Framework

Successfully managed the implementation of key aspects of the Basel III regulatory framework, ensuring the bank's compliance and strengthening its capital adequacy and liquidity risk management.

Thought Leadership in Quantitative Finance

Authored several articles and presented at industry conferences on topics related to advanced quantitative modeling techniques and the application of AI in risk management.

What's Suvichar Sharma, FRM's Educational Background?

FRM (Financial Risk Manager), Finance, General

Global Association of Risk Professionals (GARP) - Year 2015

Master of Business Administration (MBA), FINANCE

IBS Hyderabad - Year 2011

Bachelor of Engineering (B.E.), Computer Science

BMIET - Year 2006

HIGHER SECONDARY SCHOOL, NON-MEDICAL

KULACHI HANASARAJ MODEL SCHOOL,DELHI - Year 2004

SENIOR SECONDARY SCHOOL

N.K BAGRODIA PUBLIC SCHOOL, ROHINI - Year 1994

Cleared Level 1 in December 2013

CFA (USA) - Year 2013

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Company Overview

Vichara Technologies
Total employees440
HeadquartersNew York
Founded2001

Vichara Technologies is a specialized financial technology firm providing consulting services and software solutions primarily to the capital markets industry. They focus on areas such as risk management, data analytics, quantitative finance, trading systems, and regulatory compliance. From an end-user perspective, Vichara helps financial institutions like banks, hedge funds, and asset managers to improve their operational efficiency, make better-informed decisions through advanced data insights, manage complex financial risks, and navigate the evolving regulatory landscape with robust technology platforms and expert guidance.

Vichara Technologies Funding Information
Unknown - Total Funding Raised
not applicable - Most recent funding amount
not applicable - Number of funding rounds
not applicable - Latest funding round
Lead Investors:
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