L&D Automation Specialist (Quant Trading)

Job Description

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