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For Companies At a Glance
- Tasks: Join the eTrading team to create innovative pricing and hedging algorithms.
- Company: Leading financial institution with a focus on digital transformation.
- Benefits: Competitive salary, career progression, and exposure to global trading teams.
- Other info: Dynamic environment with opportunities for creative problem-solving and teamwork.
- Why this job: Make an impact in the fast-paced world of electronic trading and finance.
- Qualifications: MSc or PhD in a quantitative subject with 5 years' eFX trading experience.
The predicted salary is between 80000 - 120000 £ per year.
Main Duties and Responsibilities of Role
The Quant will be part of the eTrading team and will be responsible for creating the new generation of pricing and hedging algorithms.
Career Potential
- Strong exposure to trading teams in London but also other global FM trading locations;
- Exposure to other global ING eTrading teams;
- Scope for career progression within eTrading and trading functions.
Candidate Profile
Qualification/Education
- Essential: MSc in quantitative subject
- Desired: PhD in quantitative subject.
Experience/Knowledge
- Essential:
- Minimum 5 years’ experience working on an eFX trading desk developing pricing and hedging strategies;
- Excellent understanding of Statistics and Machine Learning models;
- Strong research and analysis skills (Python) including machine learning libraries;
- Interest in financial markets;
- Flexibility in development technologies. Expected to work with different technologies and languages (Python, Java, Broadway, KDB, Proprietary Software).
- Having personally developed pricing and hedging strategies running in production;
- Experience in client and franchise optimisation of an electronic trading desk;
- Experience with q/KDB+ and Java.
Personal Competencies
- Essential:
- Hands-on mentality;
- Ability to deliver without supervision;
- Creative learning and thinking, passion for technology;
- Proactive behaviour and perpetual energy and drive to improve performance;
- Challenger of the status quo, always striving to do things more efficiently and effectively;
- Genuine team player.
- Customer and product focus;
- Clear, concise and transparent communicator.
FX Quant Trader employer: ING
Contact Detail:
ING Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land FX Quant Trader
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the eTrading space. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
Don’t just tell them you’re great at Python and machine learning; show them! Create a portfolio of projects that highlight your skills in developing pricing and hedging strategies. We love seeing real-world applications of your knowledge, so make sure to showcase your best work!
✨Ace the Interview
Prepare for those tricky interview questions by brushing up on your statistics and machine learning concepts. We recommend doing mock interviews with friends or using online platforms to practice. Remember, confidence is key, so go in ready to impress!
✨Apply Through Our Website
When you find a role that fits, don’t hesitate to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to join our eTrading team.
We think you need these skills to ace FX Quant Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the FX Quant Trader role. Highlight your experience with pricing and hedging strategies, and don’t forget to showcase your skills in Python and machine learning. We want to see how your background fits perfectly with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about eTrading and how your hands-on mentality can contribute to our team. Keep it concise but impactful – we love a good story that connects your experience to our needs.
Showcase Your Projects: If you’ve developed any pricing or hedging strategies, make sure to mention them! We’re interested in real-world applications of your skills, so include any relevant projects or experiences that demonstrate your expertise and creativity in the field.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there, which can help you tailor your application even further!
How to prepare for a job interview at ING
✨Know Your Algorithms
Make sure you brush up on the latest pricing and hedging algorithms. Be ready to discuss your experience with developing these strategies, especially in a production environment. Highlight any specific projects where you've successfully implemented your own algorithms.
✨Showcase Your Technical Skills
Since this role requires strong Python skills, be prepared to demonstrate your proficiency. Bring examples of your work with machine learning libraries and any relevant projects that showcase your coding abilities. If you have experience with Java or KDB+, mention that too!
✨Understand the Financial Markets
Familiarise yourself with current trends in the financial markets, particularly in eFX trading. Being able to discuss recent developments or challenges in the market will show your genuine interest and understanding of the field.
✨Be a Team Player
This role values collaboration, so be ready to share examples of how you've worked effectively in teams. Discuss how you’ve contributed to team success and how you handle feedback. Show that you’re not just a lone wolf but someone who thrives in a collaborative environment.