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Описание вакансии
TL;DR
Lead Quant Mentor (Fintech): Designing and managing an end-to-end quantitative research graduate programme with an accent on curriculum development, talent assessment, and mentorship. Focus on bridging the gap between academic potential and production-ready research for live trading pipelines.
Location: Remote (Global)
Salary: $8,000–$10,000/month
Company
A global fintech firm with over a decade of successful trading experience, specializing in high-performance quantitative research and proprietary trading platforms.
What you will do
- Build and evolve a 3–6 month quantitative research bootcamp curriculum covering statistics, ML, market microstructure, and risk management.
- Define candidate profiles and design rigorous technical assessments, case studies, and research assignments.
- Provide direct mentorship and conduct research/code reviews for programme participants.
- Evaluate trainee performance throughout the programme and manage progression or exit decisions.
- Coordinate with internal teams to ensure graduates are ready for live trading pipeline contributions within 30 days.
- Manage programme budget and enhance the company's employer brand within the quantitative community.
Requirements
- Professional background in quantitative research or quantitative trading.
- Deep familiarity with the full quant stack: statistical modeling, machine learning, backtesting, and production pipelines.
- Strong mathematical foundations including probability, statistics, linear algebra, and stochastic processes.
- Proven ability to assess and filter quant talent and make clear performance-based decisions.
- Capacity to identify genuine research potential beyond academic credentials.
Nice to have
- Experience designing structured training programmes or bootcamps.
- Familiarity with graduate recruiting at top quantitative programs.
Culture & Benefits
- Fully remote work arrangement.
- Opportunity to influence talent strategy at a high-performing fintech firm.
- Direct impact on live trading and alpha generation capabilities.
- Engagement with real market data and complex production constraints.
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