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- Tasks: Lead pricing and risk management for electronic and voice spot FX while maximizing profitability.
- Company: Join a global team focused on delivering liquidity and innovative trading solutions.
- Benefits: Gain valuable skills, collaborate with experts, and enjoy a dynamic work environment.
- Why this job: This role offers significant stakeholder interaction and the chance to drive impactful trading strategies.
- Qualifications: Extensive eFX trading experience, strong customer focus, and proficiency in Python required.
- Other info: Collaborate with quant and technology teams to enhance trading frameworks and regulatory compliance.
The predicted salary is between 72000 - 108000 £ per year.
Join us as an Algorithmic Trading Vice President In this engaging role, you’ll be responsible for the pricing and risk management of electronic and voice spot FX, delivering liquidity to our client franchise, while maximising volumes and profitability. You’ll enjoy significant stakeholder interaction, working as part of a global team, and collaborating with quant, technology, sales and supporting teams to deliver the desk strategy. This is a great opportunity to develop sought after skills and experience. What you’ll do As an Algorithmic Trading Vice President, you’ll be responsible for the management of the electronic risk book and planning for, and responding to market events. You’ll be overlaying market views, pricing and risk managing voice requests, and identifying and resolving technical issues with supporting teams. Other responsibilities will include: Reviewing our data to optimise pricing and hedging parameters and maximising profitability and volumes with clients. Working with trading and quant teams to develop and improve our analysis framework. Working closely with sales to understand client needs and to implement client strategy, reviewing and optimising client setup and spreads. Driving the improvement of the eFX product, creating novel pricing and hedging ideas, and working with quant and technology teams to validate and implement changes. Ensuring our business is well controlled, collaborating with risk, technology, and controls teams to design and implement regulatory requirements. The skills you’ll need We’re looking for someone with extensive eFX trading experience, particularly book running, and a strong customer focus. You’ll have experience using Python and you’ll ideally be familiar with Q. You’ll also demonstrate: Strong technical and analytical skills. A commercial and entrepreneurial approach to novel idea creation, discussion, validation, and implementation. Experience in client meetings. A collaborative and collegiate approach to problem solving. #J-18808-Ljbffr
Algorithmic Trading VP employer: NatWest Group
Contact Detail:
NatWest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithmic Trading VP
✨Tip Number 1
Familiarize yourself with the latest trends in electronic FX trading. Understanding current market dynamics and technological advancements will help you engage in meaningful conversations during interviews and demonstrate your expertise.
✨Tip Number 2
Network with professionals in the algorithmic trading space. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about their experiences, which can provide valuable insights into the role.
✨Tip Number 3
Brush up on your Python skills and familiarize yourself with quantitative analysis techniques. Being able to discuss specific projects or applications of these skills will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience in client meetings and how you've successfully addressed client needs in the past. Highlighting your customer focus and collaborative approach will resonate well with our team-oriented culture.
We think you need these skills to ace Algorithmic Trading VP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive eFX trading experience and technical skills, particularly in Python. Emphasize any relevant achievements in pricing, risk management, and client interactions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities of the Algorithmic Trading VP position, particularly your experience in managing electronic risk books and collaborating with various teams.
Showcase Your Analytical Skills: Provide specific examples in your application that demonstrate your strong technical and analytical skills. Mention any projects where you developed or improved analysis frameworks, and how these contributed to profitability and volume maximization.
Highlight Collaborative Experiences: Discuss your collaborative approach to problem-solving in your application. Include examples of how you've worked with quant, technology, and sales teams to implement strategies or resolve issues, showcasing your ability to drive improvements in eFX products.
How to prepare for a job interview at NatWest Group
✨Showcase Your eFX Trading Experience
Be prepared to discuss your extensive experience in eFX trading, particularly in book running. Highlight specific examples where you've successfully managed risk and pricing strategies, as this will demonstrate your capability for the role.
✨Demonstrate Technical Proficiency
Since the role requires knowledge of Python and ideally Q, make sure to discuss your technical skills confidently. You might even want to prepare a brief example of how you've used these tools in past projects to solve problems or optimize processes.
✨Emphasize Collaboration Skills
Given the collaborative nature of the position, be ready to share experiences where you worked closely with quant, technology, and sales teams. Discuss how you approached problem-solving in a team setting and the outcomes of those collaborations.
✨Prepare for Client-Focused Discussions
Since understanding client needs is crucial, think of instances where you've engaged with clients to implement strategies or optimize setups. Be ready to explain how you gathered insights from these interactions and how they influenced your trading decisions.
