Vivek Dubey

Product Manager

Chandigarh, India1 yr 8 mos experience

Key Highlights

  • Expert in developing low-latency trading systems.
  • Proficient in Python and C++ for algorithmic trading.
  • Strong background in backtesting and strategy automation.
Stackforce AI infers this person is a Fintech Quant Developer specializing in algorithmic trading and strategy automation.

Contact

Skills

Core Skills

Algorithmic TradingBacktesting

Other Skills

Back-End Web DevelopmentC++FastAPIForeign Exchange (FX) TradingForexLinuxMQL5Machine LearningMetaTrader 5NetworkingNeural NetworksNumpyObject-Oriented Programming (OOP)PandasPostgreSQL

About

🔹 Quant Developer | Trading Systems | Python | C++ | Strategy Automation I am a dedicated and results-oriented Quant Developer with over years of hands-on experience in the algorithmic trading industry, gained through full-time internships alongside my bachelor's degree. Currently, I’m working at a hedge fund, where I specialize in developing and automating trading strategies using modern technologies like Python and C++. My primary focus is on building scalable, low-latency, and event-driven systems that support real-time market data ingestion, backtesting, and execution. I have deep experience in designing custom strategy frameworks and backend components using FastAPI, REST APIs, and networking protocols like TCP/IP to power trading infrastructure. 🔧 Technical Expertise: Languages: Python (advanced), C++ (performance-critical modules) Strategy Automation: Custom signal generation, rule-based engines, execution logic Backtesting & Optimization: Using vectorbt, Backtesting.py, NumPy, and Pandas API Development: Building and consuming RESTful APIs with FastAPI Networking & Systems: Experience with sockets, TCP/IP, multithreading Market Data: Real-time WebSocket & REST integration, OHLC/tick processing 🎯 I'm deeply passionate about applying software engineering principles to quantitative finance and continuously learning new tools and techniques in the algo-trading space. I’m currently exploring opportunities to collaborate on impactful fintech or trading tech projects, and open to upskilling via research-driven or part-time Master's programs without disrupting my current professional path.

Experience

2cents capital

Quantitative Developer

Jun 2025 – Aug 2025 · 2 mos · Dubai, United Arab Emirates · Remote

Srhft

Quantitative Developer

Mar 2024 – Apr 2025 · 1 yr 1 mo · Mumbai, Maharashtra, India · Remote

  • Developed a low-latency in-house trading execution platform tailored for MFT and HFT strategies.
  • Implemented tick-level backtesting engine for realistic simulation and performance evaluation.
  • Engineered real-time data processing pipelines for tick data cleaning, normalization, and storage.
  • Designed and built core components of Order Management System (OMS) and Risk Management System (RMS) to handle order lifecycle, limits, margin, and position checks.
  • Integrated multiple data feeds (WebSocket, REST) for market data and order execution.
  • Ensured performance optimization, system reliability, and fail-safe architecture under high-frequency load.
  • Key Technologies: Python, C++, Redis, WebSocket, Pandas, Numpy, FastAPI, QuestDB, Tick Data
PythonC++RedisWebSocketPandasNumpy+5

Freelance

Quantitative Developer

Jun 2023 – Jan 2024 · 7 mos · London Area, United Kingdom · Remote

  • Worked on designing and backtesting alpha-generating strategies for the Forex market using MetaTrader 5. Built custom indicators and automated trading logic in MQL5, and integrated Python for advanced data analysis and strategy validation. Focused on building robust, rule-based systems with historical and real-time data, ensuring consistency across backtest and live environments.
  • Key Technologies: Python, MQL5, MetaTrader 5, backtesting, strategy development, Forex, data analysis
PythonMQL5MetaTrader 5backtestingstrategy developmentForex+3

Education

Panjab University, Chandigarh

Bachelor's degree — Computer Science

Jul 2022 – Apr 2025

Indian Institute of Technology Hyderabad

AI & MACHINE LEARNING — Computer Science

Jul 2023 – Jan 2024

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