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 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: 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. Champion a customer‑focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge. Champion a high‑performance environment and contribute to an inclusive work environment. Actively pursue effective and efficient operations of 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. 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). Knowledge of cloud computing, GPU acceleration, and distributed systems is an asset. Strong foundation in Math, in particular probability, statistics, linear algebra, and algorithms. Experience with Machine Learning & Bayesian frameworks (TensorFlow, PyTorch, Scikit‑learn). Ability to design and validate models under real‑world constraints. Strong communication skills to explain complex concepts to diverse stakeholders. Ability to work across time zones and adapt to regional market hours. Collaborative mindset and willingness to mentor junior team members. Location Location(s): United States : New York : New York City What’s in it for you Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well‑being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs. Scotiabank is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. #J-18808-Ljbffr Scotiabank