Torchinsky is a career consultancy founded by Mike Torchinsky, an experienced HR professional with a rich background in talent acquisition. Based in Israel, Torchinsky offers personalized career consultation services, job hunting strategies, and recruitment solutions for both individuals and corporate clients, leveraging an extensive network of business contacts and expertise in executive search. With a focus on matching high-level managers with opportunities, Torchinsky aims to facilitate effective career growth and navigation in the job market.
Карьерное консультирование • Развитие карьеры • Управление изменениями • Executive Search • HR Consulting
January 14
Torchinsky is a career consultancy founded by Mike Torchinsky, an experienced HR professional with a rich background in talent acquisition. Based in Israel, Torchinsky offers personalized career consultation services, job hunting strategies, and recruitment solutions for both individuals and corporate clients, leveraging an extensive network of business contacts and expertise in executive search. With a focus on matching high-level managers with opportunities, Torchinsky aims to facilitate effective career growth and navigation in the job market.
Карьерное консультирование • Развитие карьеры • Управление изменениями • Executive Search • HR Consulting
• This is a remote position. • We are seeking a Machine Learning Lead to spearhead our quantitative research initiatives in machine learning-driven trading. • This role is ideal for a hands-on leader with deep expertise in machine learning infrastructure, predictive modeling, and trading strategies. • We fund and nurture ML-based quant trading teams, offering capital allocation for research and strategy development. • You will have full autonomy to define your research direction, team structure, and execution approach without rigid constraints. • We prioritize teamwork over internal competition, ensuring that each team operates independently while sharing insights and resources. • With access to cutting-edge technology, data, and execution platforms, you will have the opportunity to develop and test your models at scale. • Build and lead a small team of quantitative researchers and engineers dedicated to machine learning applications in trading. • Develop and optimize machine learning pipelines, ensuring scalability, efficiency, and adaptability to market conditions. • Architect a feature library and predictive model suite to enhance trading strategies across multiple asset classes.
• Proven leadership experience in managing teams in machine learning quantitative research, preferably within hedge funds or technology firms. • Strong technical expertise in building and optimizing machine learning infrastructure. • Advanced technical skills in statistics, mathematics, and programming, with a particular focus on Python. • Proficiency in additional languages like C++ or Rust is a plus. • Expertise in feature engineering, hyperparameter optimization, and monetization of forecasts. • Experience in quantitative trading, particularly in MFT (Medium-Frequency Trading), with a demonstrable PnL track record. • Ability to specialize in specific asset classes and markets, including ICE/CME through tBricks, India (options), China (futures), and Brazil. • Advanced degree (PhD or Master’s) in a quantitative discipline.
• Competitive Compensation: Receive a highly competitive fixed income, reflecting your expertise and contribution to the team. • Performance-Based Bonuses: Enjoy bonuses determined by systematic evaluations, ensuring that your hard work and contributions are always recognized. • Profit Sharing: Align your success with the company's growth, benefiting directly from the profits the team collectively generates. • Long-term Incentives: Be part of a system that values longevity and dedication, offering long-term stimulation mechanisms to reward consistent performers. • Flexible Work Environment: Relish the freedom to work remotely from any corner of the globe, ensuring a harmonious work-life balance. • Career Growth: Enjoy unparalleled opportunities for professional and personal growth, access to industry-leading mentors, and invitations to professional seminars globally.
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