Abhinav Bhondele

Business Analyst

Mumbai, Maharashtra, India11 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in quantitative research and trading strategies.
  • Proven track record in developing e-Trading platforms.
  • Strong background in risk management and market making.
Stackforce AI infers this person is a Fintech expert with strong quantitative research and trading capabilities.

Contact

Skills

Core Skills

Market MakingRisk Management

Other Skills

BloombergC++Credit DerivativesDerivativesEquity DerivativesFinancial AnalysisFinancial ModelingFixed IncomeInterest Rate DerivativesMarket RiskMathematical ModelingMatlabMonte Carlo SimulationPortfolio ManagementPricing Engine

Experience

Millennium

2 roles

Senior Quantitative Researcher

Promoted

Nov 2024Present · 1 yr 4 mos · Mumbai, Maharashtra, India

Quantitative Researcher

Sep 2021Nov 2024 · 3 yrs 2 mos · Mumbai, Maharashtra, India

Divya portfolio pvt. ltd.

Quantitative Trader

Mar 2020May 2021 · 1 yr 2 mos · Gurugram, Haryana, India

Quadeye

Quantitative Researcher

Jan 2019Jan 2020 · 1 yr · Gurgaon, Haryana, India

Voltaire capital

Quantitative Researcher

Nov 2016Dec 2018 · 2 yrs 1 mo · Mumbai, Maharashtra, India

  • I manage Market Making book during India hours. I help build the entire e-Trading platform for FX. Some of the key components that I worked on are:
  • Pricing Engine - This includes calculating Fair Price, generating Quotes, Skewing of Quotes, Deal Acceptance etc.
  • Risk Management - This includes creating Optimisation techniques on what to hedge and what to hold.
  • Signals - This includes creating signals on the basis of Liquidity, Volatility, Order Book Imbalance, Price Movements etc which helps in Pricing/Skewing/Hedging.
Market MakingPricing EngineRisk ManagementSignals

Deutsche bank

Electronic Trading Quant

May 2016Oct 2016 · 5 mos · Mumbai, Maharashtra, India

  • I was part of Markets Electronic Trading Rates team which trades on European Government bonds. Some of the models that I worked on are:
  • Hit Rate Based Pricing - Pricing of bonds based on the expected hit rate for region, customer tier, size etc.
  • Futures Spread Threshold - Looking at bond futures liquidity to determine the threshold
  • on when to start widening the quotes and when to stop electronic trading of Euro Govt Bonds.

Goldman sachs

Quant Strategist

Jun 2013Mar 2016 · 2 yrs 9 mos · Bengaluru Area, India

  • Created liquidity risk models that provide quantitative solutions to financial uncertainties faced by Corporate Treasury. I worked on Asset and Liability modelling of Equities, IRP, FX and Emerging Market desks. Some of the models that I worked on as part of ALM are:
  • Portfolio Funding Optimization - Modelling the fastest liquidation of assets under market constraints like Average Daily Volume & Non-Convex Risk constraint such as VaR.
  • Risk Ageing of Swaps - Modelling the time varying nature of risk and predicting the Margin requirement for cleared Interest Rate Swaps in future.

Zurich insurance group / university of zurich

Summer Intern

May 2012Jul 2012 · 2 mos · Zürich Area, Switzerland

Education

Indian Institute of Technology, Guwahati

Bachelor of Technology (B.Tech.) — Mathematics and Computer Science

Jan 2009Jan 2013

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