Associate Director/Director eFX Quant Trader

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

Purpose

We are seeking a talented Quant Trader to join our dynamic team, focused on FX Electronic Trading. As a Quant Trader, you will play a crucial role in developing and maintaining sophisticated trading systems and strategies in FX, utilizing your expertise in programming languages such as Python and Java. You will be responsible for managing the market-making book and managing the algorithms that operate. This role falls into scope under the Certification Regime and requires the individual to be internally ‘Certified’ as a significant harm function.

Accountabilities

• Collaborate with traders, research, and technology teams to design, develop, and enhance electronic trading platforms for FX markets.
• Design and optimize algorithmic trading strategies utilizing statistical and mathematical models, including Machine Learning and other Probability-driven models.
• Perform data analysis on trade/market data to derive actionable insights that improve profitability.
• Develop automatic risk management algorithms to monitor trading positions and market conditions.
• Identify and resolve complex technical issues related to trading systems, ensuring high system performance and reliability.
• Maintain and enhance existing software infrastructure, including code refactoring, documentation, and testing.
• Stay updated with the latest trends and advancements in quantitative finance, electronic trading, and functional programming techniques.
• Manage the Spot FX risk within market-making book.

Experience/Education

• Strong proficiency in Python and Java, programming languages at systems production-level.
• Previous experience working in electronic trading in Finance, preferably in FX, including familiarity with pricing models, risk management, and trading strategies.
• Strong Mathematical background and strong proficiency in Mathematical Modeling.
• Experience in developing large-scale systems.
• Familiarity with electronic trading protocols and market connectivity, such as FIX, API integration, and order routing.
• Proficiency in data analysis, utilizing tools like Pandas, NumPy and KDB Q.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in a quantitative field such as Computer Science, Engineering, Mathematics, Physics or related disciplines.
• Knowledge of Machine Learning & Bayesian techniques and libraries (e.g., Scikit Learn, TensorFlow, PyTorch) for developing predictive models.
• Experience with alpha-generation for algorithmic trading strategies.
• Experience working with FX ECNs and Client-Platforms (e.g., FXall, 360T, Bloomberg, LSEG Spot Matching) is a plus.
• Experience market-making and/or trading Spot FX.

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 (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. Candidates must apply 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.