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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, committed to inclusivity and community success.
- Benefits: Enjoy a dynamic work culture with opportunities for remote work and professional growth.
- Why this job: Be part of a purpose-driven team, making an impact in the fast-paced world of electronic trading.
- Qualifications: Strong skills in Python and Java, with a background in quantitative finance and algorithmic trading.
- Other info: Candidates must apply online; only selected applicants will be contacted for interviews.
The predicted salary is between 43200 - 72000 £ per year.
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.
- 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.
- 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.
Associate Director/Director eFX Quant Trader (London (UK), ENG, GB) 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)
✨Tip Number 1
Network with professionals in the FX trading space. Attend industry conferences, webinars, or local meetups to connect with traders and quant experts. This can help you gain insights into the role and potentially get referrals.
✨Tip Number 2
Stay updated on the latest trends in quantitative finance and electronic trading. Follow relevant blogs, podcasts, and research papers to enhance your knowledge and demonstrate your passion for the field during interviews.
✨Tip Number 3
Showcase your programming skills by working on personal projects or contributing to open-source projects related to trading algorithms. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions, especially in Python and Java. Familiarise yourself with common quantitative finance problems to demonstrate your problem-solving abilities.
We think you need these skills to ace Associate Director/Director eFX Quant Trader (London (UK), ENG, GB)
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: Write a cover letter that showcases your passion for quantitative finance and electronic trading. Mention specific projects or experiences that demonstrate your ability to develop trading systems and strategies.
Highlight Relevant Experience: In your application, focus on your previous roles related to algorithmic trading and market-making. Include any experience with data analysis tools like Pandas and NumPy, and mention your familiarity with electronic trading protocols.
Showcase Continuous Learning: Demonstrate your commitment to staying updated with the latest trends in quantitative finance and programming. Mention any courses, certifications, or personal projects that reflect your ongoing education in these areas.
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 the 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.
✨Understand the Trading Environment
Familiarise yourself with electronic trading protocols and market connectivity, such as FIX and API integration. Being able to discuss how these elements impact trading strategies will show your depth of knowledge in the FX market.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving skills related to trading systems. Practice explaining how you would approach resolving complex issues, ensuring high system performance and reliability.
