Associate Director, EFX Quant, FX Trading - FICC

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

Purpose

This role contributes to the overall success of our Global FX eTrading and Automated Market Making business by designing, 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 (Java, Python, C++), 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.

Accountabilities

• Model Development: Design, implement, and improve pricing, hedging, and execution algorithms using Mathematical, Statistical/Machine Learning, and other Probability-driven models. Identify and resolve complex technical issues related to trading systems, ensuring high system performance and reliability.
• Data Analysis & Insights: Analyze large datasets (market, client behavior) to identify patterns and generate actionable insights. Simulate pricing and hedging models against historical data.
• Collaboration: Partner with Sales, Trading, and Technology teams to deliver integrated solutions and improve platform capabilities. Establish consistent interaction with the voice trading desk and cultivate awareness of market trends and liquidity.
• Compliance, Risk, and Governance: Ensure adherence to regulatory requirements (SEC, FCA, IIROC) and internal policies on Compliance, Surveillance, and Risk across regions.

Role-Specific Responsibilities

• Implement algorithmic trading strategies using state-of-the-art coding techniques ensuring their speed and efficiency. Build and optimize low-latency trading infrastructure and APIs. Maintain and enhance production-level systems with robust testing and documentation.
• Develop and maintain automated risk management 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.
• 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.

Overall Accountabilities

• Stay updated with the latest trends and advancements in quantitative finance, electronic trading, and programming techniques, including emerging technologies (cloud computing, GPU acceleration, AI/ML) and market microstructure research. Explore emerging techniques in Machine Learning & AI.
• 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.

Education & Experience

• Required: Bachelor’s in Computer Science, Engineering, Mathematics, Physics, or related field.
• Experience in electronic trading, algorithmic market making, alpha generation and systematic strategy development.
• Experience with Trading Venues, ECNs, and Dealer-to-Client platforms.

Technical Skills

• Proficiency in Python, Java, and strong OOP principles.
• Experience with data platforms (KDB/Q, SQL) and numerical libraries (Pandas, NumPy).
• Familiarity with electronic trading protocols, connectivity, routing (FIX, API integration).
• Knowledge of cloud computing, GPU acceleration, and distributed systems is an asset.

Quantitative & Analytical Skills

• Foundation in probability, statistics, and optimization.
• Experience with Machine Learning & Bayesian frameworks (TensorFlow, PyTorch, Scikit-learn).
• Ability to design and validate models under real-world constraints.

Soft Skills

• 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(s): England : Greater London : London (UK)

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.