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- Tasks: Join our team as a Quant Trader, developing cutting-edge FX trading systems and strategies.
- Company: Scotiabank is a leading bank in the Americas, dedicated to helping customers succeed.
- Benefits: Enjoy a diverse and inclusive work culture with opportunities for growth and development.
- Why this job: Be part of a dynamic team, leveraging your skills in programming and quantitative finance.
- Qualifications: Strong Python and Java skills, with experience in electronic trading and mathematical modelling required.
- Other info: This role requires internal certification due to its significant impact on trading operations.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
Associate Director/Director eFX Quant Trader (London (UK), ENG, GB) | London, UK employer: Scotiabank
Contact Detail:
Scotiabank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Director/Director eFX Quant Trader (London (UK), ENG, GB) | London, UK
✨Tip Number 1
Network with professionals in the FX trading space. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in electronic trading.
✨Tip Number 2
Showcase your programming skills by contributing to open-source projects or creating your own trading algorithms. This not only demonstrates your expertise but also gives you practical experience that can set you apart from other candidates.
✨Tip Number 3
Stay updated on the latest developments in quantitative finance and machine learning. Follow relevant blogs, podcasts, and research papers to ensure you can discuss current trends and innovations during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithmic problems related to trading systems. Familiarise yourself with common questions and scenarios that may arise in the context of FX trading.
We think you need these skills to ace Associate Director/Director eFX Quant Trader (London (UK), ENG, GB) | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in electronic trading, particularly in FX. Emphasise your proficiency in Python and Java, as well as any relevant mathematical modelling skills.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about quantitative trading and how your background aligns with the role. Mention specific projects or experiences that demonstrate your ability to develop trading strategies and manage risk.
Showcase Relevant Skills: Clearly outline your technical skills, especially in programming and data analysis. Include any experience with machine learning techniques and tools like Pandas and NumPy, as these are crucial for the role.
Highlight Collaboration Experience: Since the role involves working with various teams, mention any past experiences where you collaborated with traders, researchers, or technology teams. This will show your ability to work in a team-oriented environment.
How to prepare for a job interview at Scotiabank
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and Java during the interview. Be prepared to discuss specific projects where you've used these languages, especially in developing trading systems or algorithms.
✨Demonstrate Your Quantitative Expertise
Since this role requires a strong mathematical background, be ready to explain your experience with statistical models and machine learning techniques. Discuss any relevant projects or research that showcase your ability to apply these concepts in a trading context.
✨Familiarise Yourself with Trading Protocols
Understanding electronic trading protocols like FIX and API integration is crucial. Brush up on these topics and be prepared to discuss how you've implemented them in past roles or how you would approach them in this position.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills related to trading systems. Practice explaining your thought process clearly and logically, as this will demonstrate your analytical abilities and how you tackle complex issues.
