Anmol Singhal

Software Engineer

Chicago, Illinois, United States6 yrs 5 mos experience
Most Likely To Switch

Key Highlights

  • Expert in quantitative finance and machine learning.
  • Proven track record in high-frequency trading.
  • Developed innovative solutions for vehicle detection.
Stackforce AI infers this person is a Fintech expert with strong capabilities in quantitative analysis and machine learning.

Contact

Skills

Core Skills

Quantitative FinanceMachine LearningComputer VisionProgramming

Other Skills

Algorithm DesignArduinoAutomated TestingCC#C++CUDAData StructuresData-Driven ModelingDeep LearningEquity OptionsExecution TradingGPU ProgrammingHTMLHigh Frequency Trading

Experience

Imc trading

Quantitative Developer

Feb 2023Present · 3 yrs 1 mo · Chicago, Illinois, United States · On-site

  • Equity Options Hit rates dev
  • Ultra low latency C++ for options wholesaling internalization business
C++Equity OptionsLow LatencyQuantitative FinanceMachine Learning

Barclays

Quantitative Developer

Jun 2022Aug 2022 · 2 mos · New York City Metropolitan Area

  • Worked on high frequency rates trading platform with the Statistical Modeling and Development team
Statistical ModelingHigh Frequency TradingQuantitative FinanceMachine Learning

Dolat capital market private ltd.

Quantitative Developer

Mar 2021Jul 2021 · 4 mos

  • Execution trader for market making in NIFTY and BANKNIFTY options with demonstratable record of high sharpe and PnL
Market MakingExecution TradingQuantitative Finance

Goldman sachs

Quantitative Developer

Jun 2019Feb 2021 · 1 yr 8 mos

  • Desk strat directing Inventory Management for Prime Services Business to support global trading
  • Develop models for internal borrow/loan activity with a focus on AUS Market with daily flow ~$1bn
  • Devised strategy to reduce excess borrows in term trades reducing annual cost by ~$70mm
  • Current research in data driven model of trades in a market crash to project capital requirement/cost
Inventory ManagementData-Driven ModelingQuantitative FinanceMachine Learning

Nanyang technological university

Visiting Researcher

Jan 2019Jun 2019 · 5 mos · Singapore

  • Funded visiting researcher at ROSe Lab for bachelor thesis under the guidance of Prof. Alex Kot
  • Developed a novel GPU parallel implementation of multi-class Non-Max Suppression using CUDA
  • Fine Tuned and trained RFBNet for vehicle detection, type recognition and tracking from dash cams
  • Modified YOLO based network architecture to achieve AP = 86% for license plate detection task with in-car camera dataset for autonomous surveillance task
CUDAGPU ProgrammingVehicle DetectionComputer Vision

Goldman sachs

Strategy Analyst

May 2018Jul 2018 · 2 mos · Bengaluru Area, India

  • ○ Reduced unsecured funding by $100mn which cut costs by $5mn for the firm
  • ○ Mathematically modeled funding trades across the firm and developed a visual tool for comparative assessment of opportunity cost
  • ○ Received a full time offer for joining in 2019 from Securities division
Mathematical ModelingVisual Tool DevelopmentQuantitative Finance

Birla institute of technology and science, pilani

Teaching Assistant

Jan 2018Dec 2018 · 11 mos · Pilani

  • ○ Aid Dr. Surekha Bhanot as TA of "Neural Networks and Fuzzy Logic" course at BITS Pilani
  • ○ Involved in the development and deployment of an automated online testing platform using NodeJS and Python
NodeJSPythonAutomated TestingProgramming

Ids infotech limited

Frontend Web Developer

May 2017Jul 2017 · 2 mos · Chandigarh Area, India

  • ○ Developed an online ‘Project Progress Report Management Portal’ to replace the legacy system.
  • ○ Received “Letter of Appreciation” from the Business Head (Software Services). Final product launched by MD of the company.
Web DevelopmentProject ManagementProgramming

Education

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering (BE) — Computer Science and Finance

New York University

Master of Science - MS — Computer Science

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