Location : Surat, Gujarat / Remote Company : Supernal Ventures Pvt. Ltd. We are actively allocating a large fund exclusively for algorithmic trading. Whether you're a strategy creator or a developer looking to collaborate, you’ll have the capital backing to bring your models to life . Who We’re Looking For: We are hiring Algo Traders who either: Have their own backtested/live-tested strategies ready to scale with capital support. Want to co-develop innovative strategies with our internal team and access our infrastructure + trading capital. This is an ideal opportunity for those who are: Independent quant traders or coders with profitable strategies. Aspiring professionals interested in strategy R&D and live market deployment. Key Responsibilities Develop and optimize algorithmic trading strategies across multiple asset classes. Backtest strategies using historical and real-time market data. Deploy and monitor strategies on live markets using company capital. Collaborate with our team for robust strategy execution. Continuously refine models for alpha generation and drawdown control. Ensure adherence to regulatory guidelines and risk frameworks. Minimum Requirements Strong market knowledge—equity, derivatives and currency. Proficient in Python or any quant-friendly language (R, C++, Pine Script, etc.). Prior experience in developing or deploying trading algorithms. Understanding of data structures, APIs, and performance metrics. Discipline in risk management and drawdown control. Preferred: Strategies with existing P&L or sharpe/risk metrics. Experience with algo platforms (Zerodha Kite, Interactive Brokers, etc.). Use of machine learning, statistical arbitrage, or HFT models. GitHub portfolio or track record in live algo environments. What We Offer: Competitive compensation + performance incentives/profit-sharing. Infrastructure and resources to test and scale your strategies. Opportunity to work in a growing, tech-driven trading firm. Full support for regulatory compliance and live market deployment. Internship certification (for interns) + future hiring opportunities.
As an Accounting and Back Office Operations Executive, you will play a pivotal role in ensuring the smooth functioning of client accounts and back-office operations. Your responsibilities will encompass client onboarding, transaction management, trade settlements, accounting, and compliance with statutory regulations. Key Responsibilities Accounting: Maintain and update client ledgers, tracking deposits, withdrawals, and trading margins. Reconcile daily balances to ensure accuracy in client accounts. Reconcile executed trades with exchange and back-office systems. Calculate and record brokerage, statutory fees (GST, STT, SEBI charges, stamp duty), and other trade-related charges. Generate detailed P&L reports for clients and provide charge breakdowns. Deduct and record applicable taxes, ensuring accurate reporting to authorities. Assist clients with capital gains accounting and generate tax-related reports. Reconcile trading balances with bank accounts and back-office records, ensuring no discrepancies. Ensure compliance with GST, TDS, and other tax-related obligations. Reconcile bank accounts, client accounts, and trade settlements regularly. Coordinate with external auditors for internal and statutory audits. Back Office Operations: Manage the end-to-end client onboarding process, including KYC verification and account setup. Process and record client pay-ins and pay-outs for trades. Ensure timely completion of T+1/T+2 settlement obligations. Reconcile daily trades with stock exchanges, ensuring accuracy in trade settlements. Generate and distribute contract notes, trade confirmations, and margin reports to clients. Process payouts and pay-ins of funds and securities within prescribed timelines. Handle client queries related to trade execution, account balances, and discrepancies. Maintain accurate records of all client transactions, corporate actions, and account activities. Qualifications and Skills: Educational Background: Bachelor’s degree in Accounting, Finance, Commerce, or a related field. Experience: 2+ years of experience in accounting or back-office operations, preferably in stockbroking or financial services. Proficiency in accounting software and stock trading platforms. Strong understanding of stock market operations, settlement cycles, and regulatory requirements. Knowledge of GST, TDS, and other tax-related compliance. Excellent numerical skills and attention to detail. Strong communication skills for client interactions. Ability to manage deadlines and work under pressure. Experience using KORP or other relevant software a BIG PLUS URGENTLY HIRING!!
Location: Surat, Gujarat (Hybrid/Remote options available) Company: Supernal Ventures Pvt. Ltd. Industry: Financial Services | Stock Broking | FinTech Supernal Ventures Pvt. Ltd., a SEBI-registered stock broker, is on a mission to revolutionize the financial services industry by building cutting-edge trading systems and AI-powered solutions. We are looking for Python Developer Interns who are passionate about capital markets, quantitative research, and algorithmic trading. Roles and Responsibilities: During your internship, you will be expected to contribute to the following activities: Code Development and System Architecture: Write efficient and scalable code to analyze multiple Indian equities simultaneously. Develop robust code architectures for trading systems that support maintainable and optimized execution. Build modular and extensible components for data ingestion, processing, and trade execution pipelines. Economic Analysis and Market Integration: Implement functions to incorporate custom economic indicators for predicting market trends. Integrate macroeconomic data for more accurate modeling of equity market behaviors. Backtesting and Performance Optimization: Conduct comprehensive backtesting of pre-defined trading strategies using historical data. Optimize system components for better performance and speed in real-time environments. Data Handling: Clean, preprocess, and organize extensive datasets using tools like Pandas and NumPy. Ensure data accuracy by implementing robust validation pipelines. AI and Machine Learning Integration: Use AI and machine learning techniques to enhance system intelligence and adaptability. Build predictive models for market inefficiency detection and risk mitigation. Risk Management System (RMS) Development: Design and implement a comprehensive RMS to manage potential market risks and protect investments. Develop alerts and mechanisms to handle market anomalies. Testing and Debugging: Create and execute test cases for trading system components to ensure system reliability. Perform unit and integration testing for error handling and system stability. End-to-End System Development: Build complete trading systems for predefined strategies from scratch, encompassing all development phases: system conceptualization, architecture design, coding, testing, optimization, and deployment for live trading environments. Live Trading Support: Maintain, refine, and monitor trading systems during live trading sessions. Troubleshoot issues and ensure smooth execution of strategies in real-time. What We’re Looking For Strong knowledge of Python (Pandas, NumPy, Matplotlib, GitHub). Interest in financial markets, equity trading, and quantitative finance. Exposure to AI/ML techniques (preferred). Strong problem-solving, adaptability, and debugging skills. Ability to handle pressure and attention to detail. What You’ll Gain Hands-on experience in building trading algorithms and real-time systems. Exposure to cutting-edge AI/ML applications in finance. Internship certificate & referrals upon successful completion. Networking opportunities with professionals in the financial & trading industry. This is an unpaid internship with high learning exposure. Exceptional candidates may be considered for future paid roles.