Sumit Mahlawat

Business Development Executive

Delhi, India8 yrs 5 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Developed over 200 alphas for stock trading.
  • Designed and optimized trading strategies using Python.
  • Mentored undergraduate students at IIT Delhi.
Stackforce AI infers this person is a Quantitative Analyst with expertise in Fintech and financial modeling.

Contact

LinkedIn

Skills

Core Skills

Quantitative AnalysisFinancial Modeling

Other Skills

Pythonalpha developmentback-testingfundamental analysisquantitative financetechnical analysis

Experience

Alphagrep

Trader

Jun 2021 – Present · 4 yrs 9 mos · Bengaluru, Karnataka, India

Estee

2 roles

Senior Analyst - Strategy

Promoted

Jun 2020 – May 2021 · 11 mos

Analyst - Strategy

Jun 2019 – May 2020 · 11 mos

Wipro infrastructure engineering

Summer Intern

May 2018 – Jul 2018 · 2 mos · Bengaluru, Karnataka, India

Auquan

Quant Trading Strategist

Feb 2018 – May 2018 · 3 mos

  • Completed coursework on quantitative finance and created prediction models in python for stock prices. Designed, Optimized and back-tested a Long Short Equity Strategy for stocks listed on NSE.
quantitative financePythonback-testingquantitative analysisfinancial modeling

Worldquant

Research Consultant

Sep 2017 – May 2019 · 1 yr 8 mos

  • Developed alphas to predict weight allocation for stocks across USA, Europe, and Asia regions
  • Used fundamental, technical data among others to currently have more than 200 alphas traded in live markets
alpha developmentfundamental analysistechnical analysisquantitative analysisfinancial modeling

Indian institute of technology, delhi

2 roles

Student Mentor

Jul 2017 – May 2018 · 10 mos

  • Mentored 6 first year undergraduate students

Hostel Captain, Football

Jul 2017 – May 2018 · 10 mos

  • Achieved the best ever finish for the hostel in the Inter Hostel Football tournament

Education

Indian Institute of Technology, Delhi

Bachelor of Technology - BTech — Mechanical Engineering

Jan 2015 – Jan 2019

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