Director - eFX Quant Strategist
New York City, NY, US, 10281
Scotiabank
Requisition ID: 218979
Salary Range: 300,000.00 - 300,000.00
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.
Title: Director – eFX Quant Strategist
Global Banking and Markets
Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years. Scotiabank’s strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world.
Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.
Be part of an innovative, Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries! We work together to drive ambition for every future!
Overview:
We are seeking a highly skilled Director-level eFX Quant to join our eFX Trading desk within a well-respected international investment bank. The ideal candidate will have deep expertise in building and scaling an eFX quant trading business, with a proven track record in market-making, pricing, risk management, and execution optimization in the electronic foreign exchange space. This role requires strong quantitative, technical, and strategic capabilities to drive revenue growth and enhance the bank’s eFX trading franchise.
What You’ll Do:
- Build and enhance the eFX quant trading business, developing cutting-edge models for pricing, risk management, and market-making.
- Develop and optimize high-frequency pricing engines and liquidity strategies to improve execution quality and profitability.
- Collaborate closely with eFX traders, technology teams to drive automation and efficiency in pricing and hedging strategies.
- Design, implement, and improve algorithmic execution strategies for spot FX, Forwards, and swaps.
- Utilize machine learning and statistical techniques to optimize execution, reduce slippage, and improve fill ratios.
- Engage with senior FX leaders to define and execute a long-term strategy for eFX quantitative trading.
- Lead the development of robust transaction cost analysis (TCA) frameworks to optimize trading performance.
- Ensure compliance with regulatory requirements and best practices in electronic FX trading.
What You’ll Bring:
- Advanced degree (PhD or Master’s) in a STEM field (Mathematics, Physics, Computer Science, Engineering, Quantitative Finance, or a related discipline).
- 7+ years of experience in eFX quantitative research, trading, or technology at a top-tier investment bank, hedge fund, or proprietary trading firm.
- Deep understanding of eFX market structure, liquidity dynamics, and electronic trading workflows.
- Expertise in building eFX pricing and risk models, with a strong grasp of bid-offer spread optimization, skewing techniques, and market impact models.
- Proficiency in C++, Java, Python, or KDB+/q for developing real-time pricing and trading infrastructure.
- Experience working with low-latency execution strategies and high-frequency trading architectures.
- Strong background in statistical modeling, machine learning, and signal generation for systematic trading.
- Ability to drive business growth, scale eFX platforms, and work collaboratively with trading and technology teams.
- Deep understanding of regulatory considerations (e.g., MiFID II, FX Global Code).
Preferred Skills:
- Hands-on experience with connectivity to ECNs, liquidity providers, and internalization engines.
- Strong relationships with key industry participants, including ECNs, banks, and market-makers.
Interested?
At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That’s why we work to grow and diversify talent and engage employees in a performance-oriented culture.
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.
Location(s): United States : New York : New York City
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Banking Computer Science Engineering Finance Java Machine Learning Mathematics PhD Physics Python Research Statistical modeling Statistics STEM
Perks/benefits: Career development Equity / stock options Flex hours
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