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Python Developer with 3+ years in algorithmic trading & quantitative finance
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Python Developer with experience in algorithmic trading, quantitative research, and backend system development. Proficient in building scalable, low-latency applications using Python, MongoDB, Redis, and REST APIs. Seeking opportunities to apply technical expertise in developing high-performance financial and software solutions.
Devi ahilya Vishwa vidyalaya
MBA
August 1, 2020 – June 30, 2022
SJHS Gujrati Innovative college
B.Sc.
August 1, 2015 – June 30, 2018
Govt higher secondary school
Higher secondary
June 1, 2013 – May 31, 2015
Saraswati shishu mandir
Senior secondary
June 1, 2011 – May 31, 2013
Stock Pro 9 Pvt Ltd
Python Developer
September 1, 2025 – Present
India
Stock Vertex Ventures
Python Developer
June 1, 2023 – August 1, 2025
India
Cubexo Software Solution
Software developer intern
June 1, 2022 – September 1, 2022
India
Algorithmic Trading & High-Frequency Execution Engine
September 1, 2025 – June 30, 2026
Developed a low-latency algorithmic trading platform for real-time market data processing and automated order execution. Built asynchronous order management systems using Asyncio, aiohttp, and broker API integrations. Designed scalable MongoDB and Redis-based architectures for high-volume trading operations. Developed real-time monitoring dashboards and analytics using Streamlit and Pandas. Implemented automated error handling, token management, and production support workflows. Collaborated with clients on requirement gathering, deployment support, and trading workflow customization.
Quantitative Equity & F&O Strategy Analytics - Backtesting & Research Platform
June 1, 2023 – August 1, 2025
Developed quantitative trading and backtesting platforms for Equity and F&O markets. Built strategy engines using EMA, ATR, SuperTrend, Volume, and Scalping-based trading models. Implemented risk management, position sizing, stop-loss, and portfolio analytics modules. Optimized backtesting performance using Python multi-processing for large-scale simulations. Created Streamlit dashboards for strategy comparison, performance tracking, and reporting. Generated trade analytics, drawdown analysis, and performance reports for strategy optimization.
Cultural Fit Analysis
The candidate's experience is highly specialized in algorithmic trading and quantitative finance, which aligns well with roles requiring deep expertise in FinTech. The projects demonstrate a focus on performance, scalability, and real-time data processing, indicating a results-oriented approach. The breadth of skills within the Python ecosystem for data, backend, and visualization suggests adaptability and a continuous learning mindset. However, the lack of diverse project domains outside of finance might indicate a narrower scope of experience for general Python development roles.
Soft Skills & Operational Fit
The candidate's project descriptions indicate collaboration with clients for requirement gathering and deployment support, suggesting good communication and teamwork skills. Experience in production support workflows implies a focus on operational reliability. The MBA degree, while not directly technical, could indicate business acumen and a broader understanding of project management and strategic thinking.