Associate Director, eFI Quant Trading, New York, NY

Scotiabank•New York, NY

1d•Onsite

About The Position

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.

Requirements

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).
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.

Nice To Haves

Advanced degree (M.Sc. or Ph.D.) in a quantitative discipline.
Knowledge of cloud computing, GPU acceleration, and distributed systems is an asset.

Responsibilities

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.
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.
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.