Associate Director, EFX Quant, FX Trading FICC

Requisition ID: 251683

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 teams 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 Ris 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 Scotiabanks 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: Bachelors in Computer Science Engineering Mathematics Physics or related field.
• Preferred: Advanced degree (. or Ph.D.) in a quantitative discipline.
• 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 : GreaterLondon : 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 (including but not limited to an accessible interview site alternate format documents ASL Interpreter or Assistive Technology) during the recruitment and selection process please let our Recruitment team know. If you require technical assistance please click here. 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.