At a Glance
- Tasks: Develop advanced pricing and hedging algorithms while collaborating with global trading teams.
- Company: Leading financial services provider in Greater London with a focus on innovation.
- Benefits: Opportunities for progression, competitive salary, and a dynamic work environment.
- Other info: Proactive individuals with a passion for tech will thrive in this role.
- Why this job: Join a cutting-edge team and make an impact in the world of eTrading.
- Qualifications: 5+ years on an eFX trading desk with strong stats and machine learning skills.
The predicted salary is between 70000 - 90000 £ per year.
A leading financial services provider in Greater London seeks a Quant to join their eTrading team. This role involves developing advanced pricing and hedging algorithms, collaborating with global trading teams, and offering opportunities for progression within eTrading and trading functions.
Candidates should have a minimum of 5 years' experience on an eFX trading desk and a solid background in statistics and machine learning, particularly with Python. The ideal candidate will also possess a proactive approach and a passion for technology.
FX Quant Trader, eTrading: Pricing & Hedging Innovator employer: ING
As a leading financial services provider in Greater London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from extensive growth opportunities within the eTrading sector, supported by a commitment to professional development and cutting-edge technology. Join us to be part of a forward-thinking team where your expertise in pricing and hedging can truly make an impact.
StudySmarter Expert Advice🤫
We think this is how you could land FX Quant Trader, eTrading: Pricing & Hedging Innovator
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance world, especially those in eTrading. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects, especially those involving pricing and hedging algorithms. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Practice makes perfect! Brush up on your Python skills and be ready to tackle technical questions or coding challenges during interviews. We all know how crucial it is for a Quant Trader to have a solid grasp of machine learning.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and passionate about technology—just like you!
We think you need these skills to ace FX Quant Trader, eTrading: Pricing & Hedging Innovator
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience on an eFX trading desk and showcases your skills in statistics and machine learning. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for technology and how you can contribute to our eTrading team. We love seeing candidates who are proactive, so share examples of how you've taken initiative in past roles.
Showcase Your Technical Skills:Since this role involves developing algorithms, make sure to highlight your proficiency in Python and any relevant tools or technologies. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at ING
✨Know Your Algorithms
Make sure you brush up on the advanced pricing and hedging algorithms relevant to the role. Be prepared to discuss your previous experiences in developing these algorithms and how they can be applied in the eTrading environment.
✨Showcase Your Statistical Skills
Since a solid background in statistics is crucial, be ready to demonstrate your knowledge. Prepare examples of how you've used statistical methods and machine learning in past roles, especially with Python, to solve real-world trading problems.
✨Collaborate Like a Pro
This role involves working closely with global trading teams, so highlight your teamwork skills. Think of specific instances where you successfully collaborated with others to achieve a common goal, particularly in high-pressure situations.
✨Passion for Technology
Let your enthusiasm for technology shine through. Discuss any recent projects or innovations you've been involved in that showcase your proactive approach and passion for staying ahead in the tech landscape, especially in relation to trading.
