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- Tasks: Develop high-performance analytics applications and collaborate with traders to optimise financial models.
- Company: Join BNY, a leading global financial services company driving innovation and inclusion.
- Benefits: Competitive pay, flexible resources, generous leave, and wellbeing programmes.
- Why this job: Be part of a transformative team using cutting-edge tech to redefine finance.
- Qualifications: Experience in KDB+/q and Python, with a background in data science and finance.
- Other info: Dynamic environment with opportunities for personal and professional growth.
The predicted salary is between 72000 - 108000 £ per year.
Join us at BNY as a Vice President, eFX Analytics Developer, where our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what it is all about. Join us and be part of something extraordinary.
We’re seeking a future team member for the role of Vice President, eFX Analytics Developer to join our team in London. The ideal candidate will have strong expertise in KDB+/q development and Python programming, combined with a solid foundation in data science and financial modeling. This role requires hands-on experience in a front-office trading environment, with a deep understanding of FX and STIRT instruments.
In this role, you’ll make an impact in the following ways:
- Develop, maintain, and optimize high-performance analytics applications using KDB+/q and Python.
- Collaborate with quantitative analysts and traders to translate financial models into scalable code.
- Analyze and interpret large datasets to support trading decisions and risk assessments.
- Implement and validate financial models related to FX and STIRT instruments.
- Work closely with front-office teams to understand business requirements and deliver timely solutions.
- Ensure code quality, performance, and robustness in a fast-paced trading environment.
- Contribute to continuous improvement initiatives by adopting new technologies and best practices.
To be successful in this role, we’re seeking the following:
- Required:
- Proven experience in KDB+/q development within a financial context.
- Strong proficiency in Python programming, including data analysis libraries.
- Background in data science techniques and their application to financial data.
- Familiarity with front-office trading workflows and requirements.
- Solid understanding of FX and Short-Term Interest Rate (STIRT) instruments and markets.
- Excellent problem-solving skills and ability to work collaboratively in a team environment.
- Strong communication skills to effectively interact with technical and non-technical stakeholders.
- Degree in Computer Science, Finance, Mathematics, or a related field.
- Experience with other programming languages or technologies relevant to trading analytics.
- Knowledge of risk management frameworks and regulatory requirements.
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer – Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
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Vice President, FX Full-Stack Engineer employer: BNY
Contact Detail:
BNY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vice President, FX Full-Stack Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at BNY through LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your KDB+/q and Python skills. Be ready to discuss how you've used these in real-world scenarios, especially in trading environments. Show them you’re not just a coder, but a problem-solver!
✨Tip Number 3
Don’t forget to showcase your understanding of FX and STIRT instruments. Bring examples of how you’ve applied data science techniques to financial data. This will demonstrate your expertise and passion for the field!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the BNY team. Let’s make it happen!
We think you need these skills to ace Vice President, FX Full-Stack Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Vice President, eFX Analytics Developer role. Highlight your KDB+/q and Python skills, and don’t forget to showcase your experience in a front-office trading environment. We want to see how your background aligns 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 excited about joining BNY and how your skills can contribute to our innovative culture. Be genuine and let your personality come through – we love bold ideas!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in previous roles. We’re looking for candidates who can think critically and work collaboratively, so share those experiences that highlight your ability to deliver solutions in a fast-paced environment.
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 BNY
✨Know Your Tech Inside Out
Make sure you’re well-versed in KDB+/q and Python. Brush up on your coding skills and be ready to discuss specific projects where you've used these technologies. Prepare to explain how you’ve optimised analytics applications in a trading environment.
✨Understand the Financial Landscape
Familiarise yourself with FX and STIRT instruments. Be prepared to discuss how these markets operate and how your technical skills can support trading decisions. Showing that you understand the financial context will set you apart.
✨Collaborate Like a Pro
Since this role involves working closely with quantitative analysts and traders, think of examples where you’ve successfully collaborated in a team. Highlight your communication skills and how you’ve translated complex financial models into code.
✨Showcase Problem-Solving Skills
Prepare to tackle some hypothetical scenarios or case studies during the interview. Think about challenges you’ve faced in previous roles and how you approached them. This will demonstrate your analytical thinking and ability to thrive in a fast-paced environment.