Gaurav Mane

Software Engineer

London, England, United Kingdom10 yrs 1 mo experience

Key Highlights

Over 8.5 years of experience in finance technology.
Expertise in C++17 and Python development.
Co-founded an algorithmic trading startup.

Stackforce AI infers this person is a Fintech professional with strong quantitative development skills.

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Skills

Core Skills

C++PythonAws

Other Skills

Amazon Web Services (AWS)BoostC++17Data StructuresFIXFinanceGDBGitKdbLinuxOptionsPostgreSQLPython3SQLSTL

About

Quant Dev | C++ | Python | Passed Level I of the CFA Program Currently, I am working as a Quantitative Developer at AlphaGrep as part of an Options desk. Summary: - Over 8.5 years of expertise as a technologist in finance, specializing in C++17 and Python development along with some exposure to AWS cloud. - During my initial ~4 year tenure at Morgan Stanley, I contributed to their trading and order management platforms projects as a C++ developer. - For the next ~2 years, I immersed myself in entrepreneurship, co-founding an algorithmic trading startup. I led the technology efforts, utilizing Python and AWS Cloud. - Spent ~2+ years at AQR Capital as a Quantitative Research Engineer, collaborating closely with researchers and Portfolio Managers. Leveraged Python and AWS Cloud extensively in development endeavors. - Passed Level I of the CFA Program.

Experience

Geneva trading

Software Engineer

Nov 2025 – Present · 4 mos · London Area, United Kingdom

Part of the HFT team
Tech: C++, Python, Kdb

C++PythonKdb

Alphagrep

Quantitative Developer

Jul 2023 – Oct 2025 · 2 yrs 3 mos · Greater London, England, United Kingdom · On-site

Working as a Quant Developer for an Options trading desk, where my role demands:
Utilizing my engineering skills (mainly C++ & Python) to advance the trading/ research infra for the team for various exchanges
Developing and refining HFT/MFT signals, execution
strategies, and robustness measures by partnering closely with Quant Traders
Key Projects:
Options Delta Hedger: Developed an automated, exchange-agnostic delta hedging application to dynamically hedge the live cash deltas of portfolios
Volume based Quoter: Engineered a futures quoting strategy (supporting the Brazil exchange), focusing on quoting with certain volume differentials
Options Break-even Vols Service: Built a Python service to compute live break-even volatilities, configurable for any option product on any exchange..
Tech Stack: C++17, Python3, Linux

C++17Python3LinuxC++Python

Aqr capital management

2 roles

Vice President - Quantitative Research Engineer

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India

PythonAWS

Associate - Quantitative Research Engineer

Mar 2021 – Dec 2022 · 1 yr 9 mos · Bengaluru, Karnataka, India

Worked in the Fixed Income and Global Stock Selection Research Engineering team, My role demanded -
Building and extending the asset signal/risk estimation infra, APIs leveraging cloud computing, and an efficient historical backtesting engine
Collaborating with the researchers to provide tech solutions per their needs
Key Projects:
Cloud Migration: A part of the major tech initiative, to migrate the jobs and services to AWS Grid and servers (from on-prem) respectively.
Time-series Research Tooling: POC to optimize model compute flow for large date ranges by leveraging time-series driven computation and DB/query optimizations.
Model Productionisation: Successful migration of various multi-factor NA & EU models/factors from research to production environment for Credit assets.
Tech Used: Python2/3, AWS, Grid computing, Pandas, SQL, etc.

PythonAWSPostgreSQL

Algonauts technologies

Co-Founder

May 2019 – Mar 2021 · 1 yr 10 mos · Mumbai, Maharashtra, India

An initiative to build technology infra for algo trading, quant research, and portfolio
management. Being the lead technologist, my role demanded -
Designing and building the research and trading infrastructure on the cloud
Backtesting and automating trading/investment strategies
Key Projects:
Research/Trading Infra: Backtesting and Automation of various mid-frequency
trading, and portfolio management strategies for Equity and F&Os, using Zerodha’s
Kite and Interactive Broker’s Python trading APIs.
Subscription platform: A service enabling clients to subscribe and trade proprietary
trading/investment signals.
Tech Used: Python3, Pandas, AWS/Azure, PostgreSQL, etc.

C++LinuxPythonFIXGDBSTL+3

Morgan stanley

4 roles

Manager

Jan 2018 – Apr 2019 · 1 yr 3 mos

Tech ownership for two key swap business processes
'Give Up' Trading Platform: Rewrite of EMEA Give Up platform; to improve latency/memory footprint, migrating to C++11, integration with newer libraries, etc.
Brexit: This regulatory project involved making all the trading platforms compliant with the Brexit regulations.
Skills Used: C++/C++11, Linux, Python, FIX, GDB, STL, Boost, Sybase, Git

C++

Senior Technology Associate

Promoted

Jan 2017 – Dec 2017 · 11 mos

MiFID II Regulations for EMEA: This critical regulatory project with a hard deadline involved making all the platforms compliant with MiFID II.
Library for the global team: Introduction of a new library with major components being Short-Sell management, Rule-based order management, Order holding/rejecting mechanism with manual override.
Testing Frameworks: A global trade entry website used for testing all the major business systems and flows for the Swaps desk.

Technology Associate

Jan 2016 – Dec 2016 · 11 mos

Design, development, and maintenance of Order/Risk Management in C++ for the swaps asset class
Active development and support in multiple business processes for the swaps desk
Regular communication with the trading desk to understand the requirement, and engineer it for the go-live

C++

Technical Analyst

Aug 2015 – Jan 2016 · 5 mos

Completed a four-month Technology and Finance training program, the Technology training was conducted by Mallon Associates (https://www.matraining.com/)
Built a Test Framework to simulate Production scenarios in QA using Scala & Akka as part of the training program