Adit Kabra

Co-Founder

Bengaluru, Karnataka, India8 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in quantitative trading and algorithmic strategies.
  • Experience with major financial institutions like Goldman Sachs.
  • Strong foundation in computer science from IIT Bombay.
Stackforce AI infers this person is a Fintech expert with a strong background in quantitative analysis and trading strategies.

Contact

Skills

Other Skills

Algorithmic TradingAndroid DevelopmentBloomberg TerminalCC++CSSHTMLHigh Frequency TradingIntraday tradingJavaJavaScriptMicrosoft ExcelPHPProgrammingPython

About

HFT Trader | Ex-Goldman Sachs | IIT Bombay CS

Experience

Acceletrade

Quantitative Trader

Apr 2022Present · 3 yrs 11 mos · Bengaluru, Karnataka, India · Hybrid

Qicap.ai

Quantitative Trader

Oct 2021Mar 2022 · 5 mos · Bengaluru, Karnataka, India

Mathisys advisors

Quantitative Trader

Nov 2018Feb 2021 · 2 yrs 3 mos · Gurgaon, India

  • Managed and improved market making strategies in delta one products across multiple exchanges.

Blockchain startup

Co-Founder

Apr 2018Sep 2018 · 5 mos · Bengaluru Area, India

  • Quant research for developing a decentralized Content Delivery Network using blockchain.

Goldman sachs

Analyst

Jun 2016Apr 2018 · 1 yr 10 mos · Bengaluru Area, India

  • Worked with London based AFT(Asset Financing and Trading) team which originated Mortgage Backed Securities across Europe.
  • Did pricing analysis on multiple mortgage pools (of > 500 mm USD notional) across countries and collateral types in Europe.
  • Built in-house models to gauge expected ratings on MBS from rating agencies (S&P, Moodys, Fitch, DBRS) by using their rating methodology published publically. Calibrated the parameters in the models which were not disclosed publically by backtesting on previously rated deals.
  • Built an optimizer to calculate the most optimal capital and payment structure of securitization to achieve the best ratings and maximum profit.

American express, big data labs

Intern

May 2015Jul 2015 · 2 mos · Bangalore

  • Improved the machine learning model used to predict the default/fraud probability of a credit card swipe.

Indian school of business

Research Intern

May 2014Jul 2014 · 2 mos · Hyderabad Area, India

  • Reading research papers on value investing techniques and backtesting whether they work in Indian market.

Education

Indian Institute of Technology, Bombay

B.Tech — Computer Science and Engineering (Minor in Statistics)

Jan 2012Jan 2016

DAV Public School, Kota

High School

Jan 2008Jan 2012

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