At a Glance
- Tasks: Lead research on AI solutions for risk management and develop predictive models.
- Company: Major financial services institution with a focus on innovation.
- Benefits: Competitive salary, career advancement, and opportunities to work with cutting-edge technology.
- Why this job: Make a significant impact in financial markets using advanced AI techniques.
- Qualifications: Master's or PhD in a quantitative field and 7-12+ years of experience required.
- Other info: Collaborative environment with strong emphasis on communication and teamwork.
The predicted salary is between 72000 - 108000 £ per year.
A major financial services institution is seeking a Senior AI Quant (VP/ED) to lead research on advanced AI solutions targeting risk management in equity structured products. The role involves developing predictive models and collaborating closely with business units to drive innovative pricing strategies.
A Master's or PhD in a quantitative field with 7-12+ years of experience in financial markets is required, alongside strong programming skills in Python and exposure to machine learning techniques. Excellent communication skills in English are essential.
Senior AI Quant — Lead Financial AI & Risk Modeling in London employer: BBVA Group
Contact Detail:
BBVA Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Quant — Lead Financial AI & Risk Modeling in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Senior AI Quant role. Personal recommendations can make all the difference, so don’t be shy about asking for introductions.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive models and any innovative pricing strategies you've developed. This will not only highlight your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your communication skills, especially when explaining complex AI concepts. You’ll need to convey your ideas clearly to business units, so consider doing mock interviews with friends or colleagues.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates, so don’t miss out!
We think you need these skills to ace Senior AI Quant — Lead Financial AI & Risk Modeling in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in financial markets and showcases your programming skills in Python. 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 explain why you’re passionate about AI in finance and how your expertise can contribute to our innovative pricing strategies. Let us know what excites you about this opportunity!
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Use clear and concise language, and don’t hesitate to demonstrate your ability to convey complex ideas simply. We appreciate clarity!
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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at BBVA Group
✨Know Your Numbers
Make sure you brush up on your quantitative skills and be ready to discuss specific models you've developed. Be prepared to explain your thought process and the impact of your work on risk management in financial markets.
✨Showcase Your Programming Prowess
Since strong programming skills in Python are a must, have examples ready that demonstrate your coding abilities. You might even want to prepare a small coding challenge or algorithm to showcase your problem-solving skills during the interview.
✨Communicate Clearly
Excellent communication skills are essential for this role. Practice explaining complex AI concepts in simple terms, as you'll need to collaborate with various business units. Think about how you can convey your ideas effectively to non-technical stakeholders.
✨Stay Updated on Trends
The financial services sector is always evolving, especially with AI. Research the latest trends in risk management and predictive modelling. Being able to discuss current developments will show your passion and commitment to the field.