Virendra Kumar Singh, CQF

CEO

Mumbai, Maharashtra, India12 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over 12 years in quantitative investment management.
  • Expert in systematic equities and derivatives strategies.
  • Strong advocate for finance and technology integration.
Stackforce AI infers this person is a Quantitative Finance expert with a strong focus on algorithmic trading and data-driven investment strategies.

Contact

Skills

Core Skills

Quantitative ResearchPortfolio ManagementQuantitative FinanceAsset AllocationData ScienceMachine LearningAlgorithmic TradingQuantitative AnalysisStatistical Modeling

Other Skills

AnalyticsBig Data AnalyticsC++C/C++Data AnalysisData MiningDatabasesDev C++Developing Hedge FundEconomicsFinancial MarketsFinancial ModelingInvestment StrategiesInvestmentsLinux

About

Virendra is an accomplished quantitative investment professional with over 12 years of experience in the Indian capital markets, specializing in systematic equities, derivatives (F&O), and alternative investment strategies. His expertise spans the entire lifecycle of quantitative investing, from alpha discovery and model development to portfolio construction, execution, and risk management. He currently serves as Head of Quantitative Research and Fund Manager at InCred Capital, where he leads (Hedge Fund Strategies) multi-strategy long-short portfolios under AIF Category III and Managed Accounts. His work involves developing and managing strategies across market neutral, volatility, statistical arbitrage, event-driven, and long-only alpha styles, executed within a hedge fund framework. In his leadership role, Virendra also manages the Quantitative Research and Development team, overseeing the buildout of research infrastructure, investment platforms, and model deployment pipelines. He is responsible for setting the research agenda, mentoring talent, and driving innovation across strategy design and execution. Previously, at Aditya Birla Sun Life AMC (PMS & Alternates), he managed systematic long-only equity and asset allocation portfolios, designing robust factor-based models and implementing data-driven investment frameworks. A strong advocate for the intersection of finance and technology, Virendra is proficient in Python, financial data engineering, and quant infrastructure development. He holds the prestigious Certificate in Quantitative Finance (CQF), underscoring his advanced capabilities in financial mathematics, machine learning, and algorithmic trading. With a track record of performance-oriented innovation, disciplined portfolio management, and effective team leadership, Virendra brings a forward-looking, data-driven approach to modern investment management.

Experience

Incred asset management & alternative investments

Fund Manager& Head of Quant Research, Hedge Fund Strategies

Sep 2022Present · 3 yrs 6 mos · Mumbai, Maharashtra, India

  • Developing Hedge Fund, Systematic Strategies.
Developing Hedge FundSystematic StrategiesQuantitative ResearchPortfolio Management

Aditya birla sun life mutual fund (abslmf)

4 roles

Quantitative Portfolio Manager

Promoted

Apr 2022Aug 2022 · 4 mos

  • Developed Multi Factor Quant Model, Asset Allocation Model, and Other Stock Selection and Sector Selection Models.
Asset AllocationInvestment StrategiesPython (Programming Language)Portfolio ManagementQuantitative Finance

Deputy Chief Manager, Quantitative Analyst

Jul 2021Apr 2022 · 9 mos

Manager, Quantitative Analyst

Jan 2020Jun 2021 · 1 yr 5 mos

Assistant Manager, Quantitative Analyst

Jan 2015Dec 2019 · 4 yrs 11 mos

Innoplexus consulting

Jr. Data Scientist

Mar 2014Aug 2014 · 5 mos · Pune Area, India

  • Worked on Predictive Analytics using Neural Network, Machine learning, Pattern recognition for BIG Data.
Predictive AnalyticsNeural NetworkMachine LearningPattern RecognitionData Science

India infoline ltd

Quantitative Analyst- Financial Markets (Algorithmic Trading)

Mar 2013Dec 2013 · 9 mos · Mumbai Area, India

  • Developed the Linux based Fully Automated Algorithmic Trading Platform from scratch, including sockets, data receivers for TBT for NSE market.
  • Developed database objects on Relational Mysql Database for the data feeds from NSE; the data feeds include securities reference and mapping data, pricing data.
  • Automated the daily, weekly and monthly production processes; developed messaging systems to inform team members of the production status, data quality issues, and special events in Perl using regular expressions and different techniques.
  • Helped the other team members related to development issues and algorithms related to trading strategies.
  • Developed the Risk Management System for the live open positions of the portfolio of the traders. It is providing real time Greeks of the portfolio.
  • Technologies: Perl, C/C++, Linux, MYSQL Server, Mysql load/import/export.
PerlC/C++LinuxMYSQL ServerAlgorithmic TradingQuantitative Analysis

Burning glass technologies

Advanced Software Engineer

Jun 2012Feb 2013 · 8 mos · Chennai Area, India

  • About Burning Glass Technology:
  • Burning Glass, founded in 1999, provides world's leading technologies and patented artificial intelligence engine for matching people with jobs and identifying career patterns. Burning Glass works in the fields of data extraction, information interpretation, behavioral profile generation, entity matching, and machine learning.
  • Work Profile:
  • My work was related to Statistical Natural Language Processing (SNLP) techniques for extraction of relevant information from text documents for the use of predictive models in resumes and job postings, statistical modeling and applications in Perl and C++ programming languages.
Statistical Natural Language ProcessingPerlC++Machine LearningStatistical Modeling

Education

CQF Institute

Certificate in Quantitative Finance

Jun 2024Jun 2024

CFA Institute

Completed CFA Level 1 — Feb 2021

Jan 2021Jan 2021

Indian Institute of Technology, Kanpur

Integrated Master of Science — Mathematics and Scientific Computing

Jan 2006Jan 2011

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