Coinsburg Ventures Pvt Ltd

Job Title : Python Backend Developer - FastAPI, PostgreSQL, Pattern Recognition Location : Remote / Hybrid Type: Full-time Experience: 3 to 7 Years Compensation: USDT only | Based on skill and performance About Us: We are a cutting-edge fintech startup building an Al-powered trading intelligence platform that integrates technical analysis, machine learning, and real-time data processing. Our systems analyze financial markets using custom algorithms to detect patterns, backtest strategies, and deploy automated insights. We're seeking a skilled Python Backend Developer experienced in FastAPI, PostgreSQL, pattern recognition, and financial data workflows. Key Responsibilities Implement detection systems for chart patterns, candlestick patterns, and technical indicators (e.g.,RSI, MACD, EMA) Build and scale high-performance REST APIs using FastAPI for real-time analytics and model communication Develop semi-automated pipelines to label financial datasets for supervised/unsupervised ML models Implement and maintain backtesting engines for trading strategies using Python and custom simulation logic Design and maintain efficient PostgreSQL schemas for storing candle data, trades, indicators, and model metadata (Optional) Contribute to frontend integration using Next.js/React for analytics dashboards and visualizations Key Requirements Python (3-7 years): Strong programming fundamentals, algorithmic thinking, and deep Python ecosystem knowledge FastAPI: Proven experience building scalable REST APIs PostgreSQL: Schema design, indexing, complex queries, and performance optimization Pattern Recognition: Experience in chart/candlestick detection, TA-Lib, rule-based or ML-based identification systems Technical Indicators: Familiarity with RSI, Bollinger Bands, Moving Averages, and other common indicators Backtesting Frameworks: Hands-on experience with custom backtesting engines or libraries like Backtrader, PyAlgoTrade Data Handling: Proficiency in NumPy, Pandas, and dataset preprocessing/labeling techniques Version Control: Git/GitHub - comfortable with collaborative workflows Bonus Skills Experience in building dashboards with Next.js / React Familiarity with Docker, Celery, Redis, Plotly, or TradingView Charting Library Previous work with financial datasets or real-world trading systems Exposure to Al/ML model training, SHAP/LIME explainability tools, or reinforcement learning strategies Ideal Candidate Passionate about financial markets and algorithmic trading systems Thrives in fast-paced, iterative development environments Strong debugging, data validation, and model accuracy improvement skills Collaborative mindset - able to work closely with quants, frontend developers, and ML engineers What You'll Get Opportunity to work on next-gen fintech systems with real trading applications Exposure to advanced AI/ML models and live market environments Competitive salary + performance-based bonuses Flexible working hours in a remote-first team

Job Title: Quantitative Researcher Location: Remote / Hybrid Type: Full-time Experience: 3+ Compensation: USDT only | Based on skill and performance We are seeking a skilled Quantitative Researcher to join our team in developing advanced algorithmic trading strategies for cryptocurrency markets. You will leverage deep quantitative skills, market insights, and statistical modeling to research, design, and test trading strategies that capture alpha in digital asset markets. Key Responsibilities Research and develop quantitative trading strategies for crypto markets across spot, perpetual futures, and derivatives. Analyze market microstructure, order flow, and liquidity to identify trading opportunities. Design and implement statistical and machine learning models for signal generation, risk forecasting, and anomaly detection. Perform extensive backtesting, simulation, and performance analysis using historical and live data. Optimize strategies for execution costs, slippage, latency, and market impact. Collaborate with developers to translate research into production-grade algorithmic trading systems. Monitor live strategies and conduct post-trade analysis to refine and improve models. Stay updated on market trends, blockchain analytics, protocol updates, and evolving market structure. Contribute to research documentation, strategy reports, and knowledge sharing within the team. Required Skills and Qualifications Strong background in quantitative research, statistical modeling, or applied mathematics. Solid programming skills in Python, R, or similar languages for data analysis and prototyping. Experience with time series analysis, signal processing, and statistical inference. Ability to work with large datasets; proficiency in data cleaning, feature engineering, and data visualization. Understanding of trading concepts such as PnL attribution, Sharpe ratio, drawdown, and risk management. Interest in cryptocurrency markets and familiarity with crypto-specific market dynamics. Excellent problem-solving and critical-thinking skills. Ability to communicate complex quantitative ideas clearly to technical and non-technical stakeholders. Preferred Qualifications Prior experience in algorithmic trading or systematic strategy development (crypto or traditional markets). Knowledge of crypto market microstructure, DeFi protocols, and blockchain data analytics. Familiarity with exchange APIs, order types, and execution logic. Experience with backtesting frameworks and simulation environments. Machine learning experience applied to financial markets (e.g. feature selection, ensemble models, reinforcement learning). Academic background in quantitative disciplines (e.g. Mathematics, Statistics, Physics, Computer Science, Engineering, Finance).

You are a skilled Quantitative Researcher who will be joining our team to develop advanced algorithmic trading strategies for cryptocurrency markets. Leveraging your deep quantitative skills, market insights, and statistical modeling, you will be responsible for researching, designing, and testing trading strategies that capture alpha in digital asset markets. Your key responsibilities will include researching and developing quantitative trading strategies for crypto markets across spot, perpetual futures, and derivatives. You will analyze market microstructure, order flow, and liquidity to identify trading opportunities. Additionally, you will design and implement statistical and machine learning models for signal generation, risk forecasting, and anomaly detection. It will be essential for you to perform extensive backtesting, simulation, and performance analysis using historical and live data. Furthermore, optimizing strategies for execution costs, slippage, latency, and market impact will be part of your responsibilities. Collaboration with developers to translate research into production-grade algorithmic trading systems is also a key aspect of the role. Monitoring live strategies and conducting post-trade analysis to refine and improve models, staying updated on market trends, blockchain analytics, protocol updates, and evolving market structure, and contributing to research documentation, strategy reports, and knowledge sharing within the team are also part of your duties. The required skills and qualifications for this role include a strong background in quantitative research, statistical modeling, or applied mathematics, solid programming skills in Python, R, or similar languages for data analysis and prototyping, experience with time series analysis, signal processing, and statistical inference, ability to work with large datasets, proficiency in data cleaning, feature engineering, and data visualization, understanding of trading concepts such as PnL attribution, Sharpe ratio, drawdown, and risk management, interest in cryptocurrency markets and familiarity with crypto-specific market dynamics, excellent problem-solving and critical-thinking skills, and ability to communicate complex quantitative ideas clearly to technical and non-technical stakeholders. Preferred qualifications for this role include prior experience in algorithmic trading or systematic strategy development (crypto or traditional markets), knowledge of crypto market microstructure, DeFi protocols, and blockchain data analytics, familiarity with exchange APIs, order types, and execution logic, experience with backtesting frameworks and simulation environments, machine learning experience applied to financial markets (e.g. feature selection, ensemble models, reinforcement learning), and an academic background in quantitative disciplines (e.g. Mathematics, Statistics, Physics, Computer Science, Engineering, Finance).,

You are seeking a Cryptocurrency Trader with a knack for consistently identifying opportunities to buy low and sell high in the crypto market. This full-time on-site position is based in Coimbatore and is ideal for traders who possess enthusiasm, experience, and a deep understanding of market psychology. If you are a conscientious trader with a Startup mindset, self-driven, and possess the necessary skills, this role is perfect for you. You should have at least 7 years of experience in trading cryptocurrencies and other financial assets. Proficiency in utilizing crypto trading platforms and exchanges is essential. Your strong analytical, logical, and numerical skills will be put to the test as you demonstrate exceptional knowledge of risk management, technical and fundamental analysis. You will be responsible for designing and implementing trading and portfolio management strategies, monitoring portfolio and market exposures, and leveraging data, analysis, and trading expertise to achieve desired outcomes. Emotional discipline and a growth mindset are crucial for success in this role. You should be willing to learn on the job and incorporate company trading practices into your existing trading experience. In return, we offer a competitive salary with various perks and benefits, providing you with the opportunity to accelerate your career in a high-demand industry. You will have the chance to collaborate with experts in Blockchain & Cryptocurrencies, contributing to your professional growth and development. Our company, established in 2016, initially focused on crypto trading and investment before transitioning into a fintech firm specializing in the development of user-end blockchain applications. We boast a team of Crypto & Blockchain experts and welcome individuals who possess exceptional skills and a strong growth mindset to join us on our journey of innovation and success.,

Job Title: Python Backend Developer - FastAPI, PostgreSQL, Pattern Recognition Location: Remote / Hybrid Type: Full-time Experience: 3 to 7 Years Compensation: USDT only | Based on skill and performance About Us: We are a cutting-edge fintech startup building an Al-powered trading intelligence platform that integrates technical analysis, machine learning, and real-time data processing. Our systems analyze financial markets using custom algorithms to detect patterns, backtest strategies, and deploy automated insights. We're seeking a skilled Python Backend Developer experienced in FastAPI, PostgreSQL, pattern recognition, and financial data workflows. Key Responsibilities Implement detection systems for chart patterns, candlestick patterns, and technical indicators (e.g.,RSI, MACD, EMA) Build and scale high-performance REST APIs using FastAPI for real-time analytics and model communication Develop semi-automated pipelines to label financial datasets for supervised/unsupervised ML models Implement and maintain backtesting engines for trading strategies using Python and custom simulation logic Design and maintain efficient PostgreSQL schemas for storing candle data, trades, indicators, and model metadata (Optional) Contribute to frontend integration using Next.js/React for analytics dashboards and visualizations Key Requirements Python (3-7 years): Strong programming fundamentals, algorithmic thinking, and deep Python ecosystem knowledge FastAPI: Proven experience building scalable REST APIs PostgreSQL: Schema design, indexing, complex queries, and performance optimization Pattern Recognition: Experience in chart/candlestick detection, TA-Lib, rule-based or ML-based identification systems Technical Indicators: Familiarity with RSI, Bollinger Bands, Moving Averages, and other common indicators Backtesting Frameworks: Hands-on experience with custom backtesting engines or libraries like Backtrader, PyAlgoTrade Data Handling: Proficiency in NumPy, Pandas, and dataset preprocessing/labeling techniques Version Control: Git/GitHub - comfortable with collaborative workflows Bonus Skills Experience in building dashboards with Next.js / React Familiarity with Docker, Celery, Redis, Plotly, or TradingView Charting Library Previous work with financial datasets or real-world trading systems Exposure to Al/ML model training, SHAP/LIME explainability tools, or reinforcement learning strategies Ideal Candidate Passionate about financial markets and algorithmic trading systems Thrives in fast-paced, iterative development environments Strong debugging, data validation, and model accuracy improvement skills Collaborative mindset - able to work closely with quants, frontend developers, and ML engineers What You'll Get Opportunity to work on next-gen fintech systems with real trading applications Exposure to advanced AI/ML models and live market environments Competitive salary + performance-based bonuses Flexible working hours in a remote-first team

Job Title: Quant Developer / Algorithmic Developer – Crypto Trading Location: Remote / Hybrid Type: Full-time Experience: 3 to 7 Years Compensation: USDT Only About the Role We are looking for a highly skilled Quantitative Developer / Algorithmic Developer to join our team in building advanced, production-grade crypto trading systems. This role is ideal for someone who excels at the intersection of strategy development, high-performance Python programming, and system design — with a deep interest in cryptocurrency markets. You will be responsible for developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and playing a critical role in converting research ideas into actionable and scalable trading logic. If you’re passionate about crypto markets and want to shape the next generation of intelligent trading systems, we’d love to connect. Key Responsibilities Design, build, and deploy crypto trading strategies across spot, futures, and derivatives. Translate strategy logic into efficient, high-quality Python code, with well-structured modules and reusable components. Work on data ingestion, labeling, and pattern recognition logic using real-time and historical market data. Integrate and customize machine learning/statistical models for signal generation, filtering, and risk control. Interface with exchange APIs (REST/WebSocket) for order placement, live market data, and account management. Manage data storage and retrieval using PostgreSQL, Redis, and other relevant tools. Optimize for latency, slippage, execution cost, and strategy robustness under varying market conditions. Develop and maintain FastAPI-based internal tools for monitoring, research, and strategy deployment. Collaborate closely with quant researchers, infra engineers, and traders to iterate on model improvements. Conduct post-trade analysis and continuous strategy performance evaluation. Required Skills & Qualifications Strong hands-on programming experience in Python (required); additional experience with C++ is a plus. Solid understanding of algorithmic trading systems, including signal development, execution logic, and risk constraints. Experience with data engineering, especially data labeling, pattern detection, and feature pipeline construction. Proficiency in working with PostgreSQL, Redis, and FastAPI. Good knowledge of crypto exchange APIs (WebSockets & REST), order types, and real-time data handling. Familiarity with quantitative strategy concepts (PnL attribution, Sharpe ratio, drawdowns, position sizing). Ability to build clean, maintainable code with attention to detail and performance. Prior experience with strategy development or backtesting frameworks. Deep curiosity about crypto markets, with a strong drive to build practical, alpha-generating systems. Preferred Qualifications Experience in systematic trading or algorithmic strategy implementation in crypto or traditional markets. Knowledge of pattern detection systems (e.g., SMC, market structure, candlestick/chart patterns). Exposure to machine learning models (supervised, ensemble, reinforcement learning) applied to financial data. Understanding of portfolio optimization, risk modeling, and capital allocation logic.

You are a highly skilled Quantitative Developer / Algorithmic Developer with 3 to 7 years of experience, seeking to join a team focused on building advanced, production-grade crypto trading systems. Your role involves developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and converting research ideas into actionable trading logic. You should excel at strategy development, high-performance Python programming, and system design, with a deep interest in cryptocurrency markets. Your key responsibilities will include designing, building, and deploying crypto trading strategies across spot, futures, and derivatives. You will translate strategy logic into efficient Python code, work on data ingestion and pattern recognition, integrate machine learning models, interface with exchange APIs, manage data storage, optimize for latency and robustness, and develop internal tools for monitoring and strategy deployment. To excel in this role, you must have strong hands-on programming experience in Python, solid understanding of algorithmic trading systems, proficiency in PostgreSQL, Redis, and FastAPI, familiarity with crypto exchange APIs, and quantitative strategy concepts. You should be detail-oriented, have prior experience with strategy development, and possess a deep curiosity about crypto markets. Preferred qualifications include experience in systematic trading, knowledge of pattern detection systems, exposure to machine learning models applied to financial data, and an understanding of portfolio optimization and risk modeling. If you are passionate about crypto markets and want to contribute to the next generation of intelligent trading systems, this role offers an exciting opportunity to collaborate with quant researchers, infra engineers, and traders in shaping the future of crypto trading.,