Associate Director, eFI Quant Trading, New York, NY

 

 

 

Requisition ID: 262856

 Salary Range: 225,000.00 - 225,000.00 

Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

 

Associate Director, eFI Quant Trading, New York, NY
 
Global Banking and Markets
Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years. Scotiabank’s strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world.
Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.
 
Be part of an innovative, Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries!  We work together to drive ambition for every future!
 
Purpose
This role contributes to the overall success of our Global eFI eTrading and Automated Market Making business by researching, developing, and implementing advanced models, trading strategies, and technology solutions, while ensuring individual goals, plans, and initiatives are executed & delivered in support of the team’s overall objectives. The position requires strong quantitative, programming (C++, Java, Python), and analytical skills to deliver innovative solutions that enhance execution quality, risk management, and profitability, while ensuring compliance with global regulatory standards and internal policies.

 

What You'll Do:

• Quant Development: Implement low-latency algorithmic trading models for UST Market Making business using modern coding techniques in C++, including latest AI tools, ensuring ultra-high speed. Build and optimize low-latency trading infrastructure and APIs. Maintain and enhance production-level systems with robust testing.
• Quant Research: The role is expected to develop and maintain automated hedging algorithms that dynamically adjust based on market conditions, aligned with desk and firm-wide risk appetite. Conduct alpha research and back testing for systematic strategies for USTs and e-trading in FI in general
• Trading-specific responsibilities: Obtain necessary regulatory licenses. Execute and monitor algorithmic strategies across products. Manage P&L and optimize execution quality under dynamic market conditions. Adhere to pre-established market risk limits and desk position limits.
• Stay updated with the latest trends and advancements in quantitative finance, electronic trading, and programming techniques, including emerging technologies (AI, cloud computing, GPU acceleration) and market microstructure research.  Explore emerging techniques in Machine Learning.
• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Champions a high-performance environment and contributes to an inclusive work environment
• Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk. 

 

What You'll Bring:

• Required: Bachelor’s in Computer Science, Engineering, Mathematics, Physics, or related field.
• Preferred:  Advanced degree (M.Sc. or Ph.D.) in a quantitative discipline.
• 5+ years experience in capital markets, specifically Fixed Income market making
• High proficiency in C++ for development and Python for research and analytics.
• Experience with data platforms (KDB/Q, SQL) and numerical libraries (Pandas, NumPy).