Role Overview As our L&D Automation Specialist , you’ll design and implement AI-driven learning solutions to train freshers in stock trading fundamentals and upskill existing quants in advanced strategies. You’ll bridge the gap between EdTech innovation and quant trading expertise, ensuring seamless, scalable training programs that align with our aggressive growth goals. Key Responsibilities Automate Learning Infrastructure Design and deploy AI-powered tools (e.g., ChatGPT, LMS platforms) to generate and deliver personalized training content. Build automated workflows (Zapier/Python) to streamline course enrollment, assessments, and feedback loops. Quant-Focused Curriculum Development Collaborate with quant traders to convert complex trading strategies into digestible, interactive modules. Integrate platforms like QuantConnect and Jupyter Notebooks for hands-on coding labs and backtesting simulations. Scalable Learning Delivery Implement adaptive learning systems (e.g., Docebo, TalentLMS) to tailor content for freshers vs. experienced teams. Automate virtual trading competitions and gamified assessments using APIs (e.g., Alpaca, Kalshi). Data-Driven Optimization Track KPIs (e.g., onboarding time, strategy performance gains) via Tableau/Power BI dashboards. Use AI to auto-update content based on market trends and regulatory changes. Cross-Functional Collaboration Partner with HR, IT, and quant teams to align L&D initiatives with business objectives. Train SMEs on AI tools for content creation and mentorship. Qualifications Technical Skills: Proficiency in Python/R , APIs , and automation tools (Zapier, GitHub Actions). Hands-on experience with LMS platforms (Docebo, Moodle) and cloud infrastructure (AWS/GCP). Familiarity with AI/ML tools (ChatGPT, TensorFlow) for content generation. Domain Knowledge: Understanding of financial markets, algorithmic trading, and risk management. Exposure to quant tools like QuantConnect , MetaTrader , or Pandas/NumPy . Experience: 3–5 years in EdTech automation , fintech L&D , or quant operations . Proven track record of scaling training programs in startups or fast-paced environments. Soft Skills: Agile problem-solving and adaptability to evolving priorities. Strong communication to translate technical concepts for non-technical stakeholders. Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Benefits: Health insurance Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Experience: quant trading teaching: 1 year (Required) Content creation: 1 year (Required) Work Location: In person Expected Start Date: 02/06/2025

Role Overview We seek a Quantitative Systems Developer with high level Python proficiency, proven excellence in product design and development using an innovative approach. You will design, optimize, and deploy scalable quant trading systems that integrate quantitative models, machine learning, and low-latency execution strategies. This role demands a blend of technical mastery, architectural vision, and financial market acumen. Key Responsibilities 1. Design & Development : Architect robust, scalable systems for Quantitative Trading, including real-time data pipelines, execution engines, and risk management frameworks. 2. 3rd Party Integrations : Leverage industry specific technologies to enhance quant systems. 3. Collaboration : Partner with quants, developers, and traders to translate strategies into high-performance code. 4. Optimization : Enhance system latency, throughput, and reliability for high-frequency trading environments. 5. Innovation : Stay ahead of industry trends in distributed systems, cloud computing, and AI/ML to drive technological leadership. 6. Compliance : Ensure systems adhere to regulatory standards and risk management protocols. 7. Documentation : Maintain clear technical specs, architecture diagrams, and deployment guidelines. Requirements 1. Education: Bachelor's/Master’s/Ph.D. in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. 2. Experience: 1-3 years of experience in quantitative research, data science, or trading strategy development. 3. Technical Skills: · Proficiency in Python for quantitative modeling. · Experience in MongoDB, Redis, API development and Websockets. · Experience in remote development, SSH tunnelling and cloud computing. · Strong understanding of machine learning, probability, and statistical analysis . 4. Financial Knowledge: Understanding of financial markets, asset pricing, and trading strategies. 5. Problem-Solving Ability: Strong analytical mindset with a passion for quantitative trading. *Knowledge of Stock Market is an added advantage* Job Type: Full-time Pay: ₹50,000.00 - ₹60,000.00 per month Benefits: Health insurance Schedule: Monday to Friday Weekend availability Supplemental Pay: Joining bonus Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Explain your experience in stock market domain briefly. Explain your experience in designing quantitative systems briefly. Experience: python coding: 2 years (Required) License/Certification: NISM-8 certification (Required) Work Location: In person

Role Overview We seek a Quantitative Systems Developer with high level Python proficiency, proven excellence in product design and development using an innovative approach. You will design, optimize, and deploy scalable quant trading systems that integrate quantitative models, machine learning, and low-latency execution strategies. This role demands a blend of technical mastery, architectural vision, and financial market acumen. Key Responsibilities 1. Design & Development : Architect robust, scalable systems for Quantitative Trading, including real-time data pipelines, execution engines, and risk management frameworks. 2. 3rd Party Integrations : Leverage industry specific technologies to enhance quant systems. 3. Collaboration : Partner with quants, developers, and traders to translate strategies into high-performance code. 4. Optimization : Enhance system latency, throughput, and reliability for high-frequency trading environments. 5. Innovation : Stay ahead of industry trends in distributed systems, cloud computing, and AI/ML to drive technological leadership. 6. Compliance : Ensure systems adhere to regulatory standards and risk management protocols. 7. Documentation : Maintain clear technical specs, architecture diagrams, and deployment guidelines. Requirements 1. Education: Bachelor's/Master’s/Ph.D. in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. 2. Experience: 1-3 years of experience in quantitative research, data science, or trading strategy development. 3. Technical Skills: · Proficiency in Python for quantitative modeling. · Experience in MongoDB, Redis, API development and Websockets. · Experience in remote development, SSH tunnelling and cloud computing. · Strong understanding of machine learning, probability, and statistical analysis . 4. Financial Knowledge: Understanding of financial markets, asset pricing, and trading strategies. 5. Problem-Solving Ability: Strong analytical mindset with a passion for quantitative trading. *Knowledge of Stock Market is an added advantage* Job Type: Full-time Pay: ₹50,000.00 - ₹60,000.00 per month Benefits: Health insurance Schedule: Monday to Friday Weekend availability Supplemental Pay: Joining bonus Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Explain your experience in stock market domain briefly. Explain your experience in designing quantitative systems briefly. Experience: python coding: 2 years (Required) License/Certification: NISM-8 certification (Required) Work Location: In person

Job Title: HR Business Partner – Talent & Admin Location: Noida (In-office) CTC: Up to ₹50,000 per month Experience Required: 5–10 years Reporting To: Founder & CEO Employment Type: Full-Time Working Days: Monday to Saturday Laptop Requirement: Candidate must have their own working laptop. About the Role We are looking for a dynamic and experienced Senior HR & People Operations Executive to join our fast-growing algorithmic trading firm. This role is pivotal in shaping the HR infrastructure, aligning the workforce with the company's mission, and acting as a trusted partner to the founder in key organizational matters. The ideal candidate will be a hands-on professional with strong people skills, strategic thinking, and a proven ability to build processes from scratch. Key Responsibilities HR System & Process Development Design and implement a scalable HRMS (manual or automated) tailored for a startup environment Create SOPs for hiring, onboarding, training, performance management, and compliance Establish systems for timekeeping, attendance, and documentation Talent Acquisition & Management Oversee end-to-end recruitment: sourcing, screening, selection, onboarding Coordinate with external partners, including hiring portals, campus SPOCs, and event organizers Lead campus hiring from top-tier tech and management institutes Organize hiring hackathons, competitions, and talent challenges People Engagement & Culture Building Foster a positive and high-performance culture aligned with the company’s vision Act as a trusted advisor to employees and promote transparent communication Design engagement initiatives, recognition programs, and feedback mechanisms Executive Assistant to the Founder Act as a liaison between the founder and the internal HR/admin functions Manage founder’s HR-related priorities, confidential matters, and reporting Provide weekly dashboards and progress updates on recruitment, training, and HR health Administration & Compliance Oversee general office administration (supplies, logistics, coordination, etc.) Ensure adherence to labour laws, company policies, and other statutory compliances Maintain accurate employee records and HR documentation Key Skills & Requirements 5–10 years of progressive HR experience, preferably in startups or tech-driven environments Prior experience in building HR systems and teams from the ground up Strong exposure to campus hiring , technical recruitment , and volume hiring Proven Employee Relations (ER) and conflict resolution skills Ability to drive motivation, alignment, and discipline across teams Strong organizational and multitasking skills Excellent verbal and written communication Proficient in Google Workspace/MS Office tools Familiarity with HRMS tools (Zoho People, Keka, Darwinbox, etc.) is a plus Working knowledge of Indian labour laws, PF, ESIC, and compliance procedures Why Join Us? Direct exposure to working with the founder and top leadership Opportunity to build systems and shape culture in a high-impact role Dynamic, agile startup culture with merit-based growth Job Type: Full-time Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Health insurance Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Briefly explain,how do you fit the job requirement Work Location: In person

We seek a Quantitative Systems Developer with high level Python proficiency, proven excellence in product design and development using an innovative approach. You will design, optimize, and deploy scalable quant trading systems that integrate quantitative models, machine learning, and low-latency execution strategies. This role demands a blend of technical mastery, architectural vision, and financial market acumen. Key Responsibilities 1. Design & Development : Architect robust, scalable systems for Quantitative Trading, including real-time data pipelines, execution engines, and risk management frameworks. 2. 3rd Party Integrations : Leverage industry specific technologies to enhance quant systems. 3. Collaboration : Partner with quants, developers, and traders to translate strategies into high-performance code. 4. Optimization : Enhance system latency, throughput, and reliability for high-frequency trading environments. 5. Innovation : Stay ahead of industry trends in distributed systems, cloud computing, and AI/ML to drive technological leadership. 6. Compliance : Ensure systems adhere to regulatory standards and risk management protocols. 7. Documentation : Maintain clear technical specs, architecture diagrams, and deployment guidelines. Requirements 1. Education: Bachelor's/Master’s/Ph.D. in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. 2. Experience: 1-3 years of experience in quantitative research, data science, or trading strategy development. 3. Technical Skills: · Proficiency in Python for quantitative modeling. · Experience in MongoDB, Redis, API development and Websockets. · Experience in remote development, SSH tunnelling and cloud computing. · Strong understanding of machine learning, probability, and statistical analysis . 4. Financial Knowledge: Understanding of financial markets, asset pricing, and trading strategies. 5. Problem-Solving Ability: Strong analytical mindset with a passion for quantitative trading. *Knowledge of Stock Market is an added advantage* Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Schedule: Monday to Saturday Supplemental Pay: Joining bonus Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Explain your experience in stock market domain briefly. Please mention the name of your graduating college or university. Explain your experience in quantitative systems briefly. License/Certification: NISM-8 certification (Required) Work Location: In person Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Please mention the name of your graduating college or university. Kindly explain your experience in quant systems breifly Kindly explain your experience in stock market. License/Certification: NISM-8 (Preferred) Work Location: In person Expected Start Date: 01/07/2025

We seek a Quantitative Systems Developer with high level Python proficiency, proven excellence in product design and development using an innovative approach. You will design, optimize, and deploy scalable quant trading systems that integrate quantitative models, machine learning, and low-latency execution strategies. This role demands a blend of technical mastery, architectural vision, and financial market acumen. Key Responsibilities 1. Design & Development : Architect robust, scalable systems for Quantitative Trading, including real-time data pipelines, execution engines, and risk management frameworks. 2. 3rd Party Integrations : Leverage industry specific technologies to enhance quant systems. 3. Collaboration : Partner with quants, developers, and traders to translate strategies into high-performance code. 4. Optimization : Enhance system latency, throughput, and reliability for high-frequency trading environments. 5. Innovation : Stay ahead of industry trends in distributed systems, cloud computing, and AI/ML to drive technological leadership. 6. Compliance : Ensure systems adhere to regulatory standards and risk management protocols. 7. Documentation : Maintain clear technical specs, architecture diagrams, and deployment guidelines. Requirements 1. Education: Bachelor's/Master’s/Ph.D. in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. 2. Experience: 1-3 years of experience in quantitative research, data science, or trading strategy development. 3. Technical Skills: · Proficiency in Python for quantitative modeling. · Experience in MongoDB, Redis, API development and Websockets. · Experience in remote development, SSH tunnelling and cloud computing. · Strong understanding of machine learning, probability, and statistical analysis . 4. Financial Knowledge: Understanding of financial markets, asset pricing, and trading strategies. 5. Problem-Solving Ability: Strong analytical mindset with a passion for quantitative trading. *Knowledge of Stock Market is an added advantage* Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Schedule: Monday to Saturday Supplemental Pay: Joining bonus Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Explain your experience in stock market domain briefly. Please mention the name of your graduating college or university. Explain your experience in quantitative systems briefly. License/Certification: NISM-8 certification (Required) Work Location: In person Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Please mention the name of your graduating college or university. Kindly explain your experience in quant systems breifly Kindly explain your experience in stock market. License/Certification: NISM-8 (Preferred) Work Location: In person Expected Start Date: 01/07/2025

Profile Overview : We are seeking a highly driven Quantitative Research Intern to join our advanced quantitative research & development team. This role offers a unique opportunity to work on data-driven trading strategies , leveraging statistical models and advanced mathematical techniques to unlock insights from financial markets. If you have a passion for quantitative problem-solving and financial markets, this role will allow you to contribute to the next generation of trading algorithms. Key Responsibilities: Conduct data analysis and in-depth research on financial instruments to identify potential investment opportunities. Collaborate with the team to develop and optimize quantitative models used for trading strategies and market forecasting. Monitor and evaluate the performance of existing trading strategies, providing insights for further refinement. Contribute to risk management by participating in model stress testing and analyzing potential risk factors. Utilize programming languages (e.g., Python, R) to conduct quantitative analysis and statistical modeling. Prepare reports and presentations summarizing research findings, model performance, and risk assessments for stakeholders. Key Qualifications: A degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field. Conceptual understanding of algorithmic trading. Experience: Minimum of 1 yea r of trading experience in equities, options and futures. NISM Series-VIII certification (mandatory) Strong analytical and quantitative skills with a focus on data-driven decision making. Familiarity with financial markets and a basic understanding of quantitative finance concepts. Proficiency in programming languages such as Python or R for data analysis and modeldevelopment. Excellent communication and teamwork skills, with the ability to present complex findings clearly. Preferred Skills: Knowledge of statistical and quantitative techniques used in financial modeling. Familiarity with data visualization tools (e.g., Tableau, Matplotlib) for presentingresearch insights. Experience with financial databases and data sources. A proactive, solution-oriented approach to problem-solving in a team setting. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Experience: equities and/derivative trading: 1 year (Required) quant trading: 1 year (Preferred) License/Certification: NISM-8 certification (Required) Work Location: In person

Profile Overview : We are seeking a highly driven Quantitative Research Intern to join our advanced quantitative research & development team. This role offers a unique opportunity to work on data-driven trading strategies , leveraging statistical models and advanced mathematical techniques to unlock insights from financial markets. If you have a passion for quantitative problem-solving and financial markets, this role will allow you to contribute to the next generation of trading algorithms. Key Responsibilities: Conduct data analysis and in-depth research on financial instruments to identify potential investment opportunities. Collaborate with the team to develop and optimize quantitative models used for trading strategies and market forecasting. Monitor and evaluate the performance of existing trading strategies, providing insights for further refinement. Contribute to risk management by participating in model stress testing and analyzing potential risk factors. Utilize programming languages (e.g., Python, R) to conduct quantitative analysis and statistical modeling. Prepare reports and presentations summarizing research findings, model performance, and risk assessments for stakeholders. Key Qualifications: A degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field. Conceptual understanding of algorithmic trading. Experience: Minimum of 1 yea r of trading experience in equities, options and futures. NISM Series-VIII certification (mandatory) Strong analytical and quantitative skills with a focus on data-driven decision making. Familiarity with financial markets and a basic understanding of quantitative finance concepts. Proficiency in programming languages such as Python or R for data analysis and modeldevelopment. Excellent communication and teamwork skills, with the ability to present complex findings clearly. Preferred Skills: Knowledge of statistical and quantitative techniques used in financial modeling. Familiarity with data visualization tools (e.g., Tableau, Matplotlib) for presentingresearch insights. Experience with financial databases and data sources. A proactive, solution-oriented approach to problem-solving in a team setting. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Experience: equities and/derivative trading: 1 year (Required) quant trading: 1 year (Preferred) License/Certification: NISM-8 certification (Required) Work Location: In person

Job Description: Associate Quantitative Developer Location: Noida (Onsite) Department: Quantitative Research & Development Reports To: Senior Quantitative Developer Job Type: Full-time employment Role Overview We are seeking a highly motivated Quantitative Developer to join our dynamic team. This role involves developing, backtesting, and optimising quantitative strategies using advanced quantitative techniques. You will work closely with experienced traders and researchers to enhance our proprietary trading models & algorithms and drive innovation in global markets. Key Responsibilities Strategy Development & Backtesting: Design, code, and optimise complex quantitative trading strategies. Quantitative Modelling: Utilise advanced mathematical models, statistical techniques, and machine learning algorithms to improve performance. Data Analysis: Analyse large financial datasets to identify trading opportunities using statistical methods. Collaboration: Work with cross-functional teams to integrate trading models into our platform. Technology Enhancement: Develop Python-based tools and automate trading-related tasks. Regulatory Compliance: Ensure all quantitative models meet accuracy, reliability, and compliance standards. Market Research: Stay updated with financial markets, economic indicators, and trading innovations. Reporting: Prepare detailed reports and presentations on strategy performance for stakeholders. Requirements Education: Bachelor's/Master’s/Ph.D. in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. Experience: 1+ years of experience in quantitative research or trading strategy development. NISM VIII certification is required. Technical Skills: Proficiency in Python for quantitative modelling and backtesting is a must. Strong understanding of machine learning, probability, and statistical analysis . Familiarity with Mongo DB and C++. Financial Knowledge: Solid understanding of financial markets specially of equities & derivative (F&O) asset pricing, and trading strategies. Problem-Solving Ability: Strong analytical mindset with a passion for quantitative trading. Job Type: Full-time Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Health insurance Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Application Question(s): Describe your experience in quantitative development Experience: quantitative trading : 1 year (Required) stock market trading: 1 year (Preferred) License/Certification: NISM-VIII (Required) Work Location: In person