Aditya Ajgaonkar

Product Engineer

Mumbai, Maharashtra, India3 yrs 9 mos experience

Key Highlights

Expert in algorithmic trading systems development.
Proven track record in automating complex trading strategies.
Strong quantitative analysis and data-driven decision-making skills.

Stackforce AI infers this person is a Fintech professional with expertise in algorithmic trading and quantitative analysis.

Contact

adiajg20@gmail.com LinkedIn

Skills

Core Skills

Algorithmic TradingQuantitative FinanceData AnalyticsSoftware DevelopmentWeb DevelopmentProcess Automation

Other Skills

Agile MethodologiesAnalytical SkillsApache KafkaArcticDBAutomationBacktestingC++Capital MarketsCascading Style Sheets (CSS)Compliance Check ToolsExcel AutomationFinanceFundamental AnalysisHTML5Hadoop

About

As a quant-driven technologist, I specialise in building and scaling algorithmic trading systems across equity and derivative markets. My work spans the full trading lifecycle — from research and strategy development to execution infrastructure and automation. Currently at Alpha Alternatives, I work with the Equity Absolute Returns desk, where I lead efforts in developing market-neutral long/short strategies and automating complex options frameworks. I’ve architected low-latency systems using REST APIs and WebSockets, designed to support dynamic, data-driven trading in live markets. My background blends hands-on programming with deep market intuition, allowing me to translate quantitative insights into actionable, scalable solutions. I always explore new academic research, market microstructure insights, and systematic ideas that challenge the conventional alpha generation process. Whether building robust backtest engines or integrating real-time execution logic, I bring a detail-oriented and impact-driven mindset to every project.

Experience

Alpha alternatives

Quantitative Developer/Researcher

Dec 2024 – Present · 1 yr 3 mos · Mumbai · On-site

Alpha Alternatives is a multi-asset-class asset management firm focused on alpha generation through differentiated investment products.
Key Summary:
Working with Equity Absolute Returns Desk.
Spearheading the development of a new algorithmic trading infrastructure to support systematic strategies.
Researched and implemented Quantitative Investment Strategies (QIS), including Equity Market Neutral Long/Short models.
Engineered trade execution framework using REST APIs and WebSockets, enabling seamless automated trading with broker platforms.
Automated non-directional options strategies, enhancing efficiency and scalability on the in-house algo infrastructure.
Continuously reviewing academic and practitioner research to design, prototype, and validate innovative quant strategies.

Algorithmic TradingMarket Neutral StrategiesREST APIsWebSocketsQuantitative Investment StrategiesQuantitative Finance

Citi

3 roles

Senior Analyst

Promoted

Aug 2023 – Dec 2024 · 1 yr 4 mos · Pune, Maharashtra, India · Hybrid

Citi is an American multinational investment bank and financial services corporation headquartered in New York City.
Key Summary:
Working in the data analytics team and collaborating with other teams in the commodities business unit.
Develop data pipelines and reports for commodities business users utilizing Python and Tableau.
Created an event-driven Python framework to control and monitor jobs on the Tableau server.
Led the development of multiple reports to track performance and risk metrics for all commodities trading desks at Citi.
Successfully migrated multiple reports from PowerBI to Tableau.

Data AnalyticsPythonTableauPowerBI

Analyst

Jul 2022 – Aug 2023 · 1 yr 1 mo · Pune, Maharashtra, India · Hybrid

Worked in the client connectivity team within Equities Technology.
Developed a low-latency web application to replace the existing vendor-provided client simulator desktop application.
Created a text parsing model-based compliance check tool for front office sales traders and research analysts to ensure commentaries/articles comply with restricted word lists.
Volunteered to create platforms on Microsoft SharePoint to conduct events across the APAC CSC network.
Developed several Proofs of Concept (POCs) to automate and improve processes:
>Implemented a rate limiter module to control the number of orders clients can place without affecting the latency of the client connectivity tool.
>Developed scripts and a notification service to automate report generation for regression test suite status, reducing report generation time from 12 man-hours to 15 minutes.
>Created dashboards to display real-time usage statistics of the compliance check tool, eliminating the need for manual script execution and reducing dependency on the development team.

Low-Latency Web ApplicationsPythonCompliance Check ToolsSoftware Development

Summer Analyst

May 2021 – Jul 2021 · 2 mos · Pune, Maharashtra, India · Remote

Citi is an American multinational investment bank and financial services corporation headquartered in New York City.
Key Summary:
Worked with the Citi Equities Technology Team.
Developed a low-latency web application for simulating and processing capital markets trades and transactions using ReactJS and Springboot.
Received a Pre Placement Offer on the basis of performance in the internship.

ReactJSSpring BootWeb Development

Ageas federal life insurance

Actuarial Intern

Dec 2019 – Jan 2020 · 1 mo · Lower Parel · On-site

Ageas Federal (erstwhile IDBI Federal Life Insurance) is a mid-sized life insurance firm based in Mumbai, India
Key Summary:
Worked in the actuarial department which is at the very core of the insurance industry and gained insights into the insurance industry.
Automated several processes in Excel using VBA reducing the average time required from a day to a couple of minutes.

VBAExcel AutomationProcess Automation