At a Glance
- Tasks: Lead the design and development of quantitative models for the QIS business.
- Company: Join UBS, a leading global financial services firm in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with diverse teams for effective risk management.
- Why this job: Make an impact with large-scale data and advanced analytics in finance.
- Qualifications: 3+ years in systematic trading or quantitative research, strong Python skills.
The predicted salary is between 60000 - 80000 € per year.
UBS is seeking a quantitative analyst in London to lead the design, development, and implementation of quantitative models for the QIS business. The candidate should have 3+ years in systematic trading or quantitative research, strong proficiency in Python, and a solid grounding in financial mathematics.
Key responsibilities include:
- Delivering high-quality applications
- Collaborating with various teams for effective risk management
The role offers an opportunity to work with large scale data and advanced analytics within a dynamic environment.
QIS Quant: Front-Office Modeling, Python & Cloud employer: UBS
UBS is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer extensive training and development opportunities, allowing our team members to thrive in their careers while working on cutting-edge projects in quantitative finance. Our commitment to diversity and inclusion, coupled with the chance to engage with large-scale data and advanced analytics, makes UBS a rewarding place for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land QIS Quant: Front-Office Modeling, Python & Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at UBS or similar firms. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or GitHub repos showcasing your Python prowess and quantitative models, make sure to highlight them during interviews. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on financial mathematics and systematic trading concepts. We recommend practicing coding challenges and model-building scenarios to get you in the right mindset.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals who are ready to dive into the world of quantitative analysis.
We think you need these skills to ace QIS Quant: Front-Office Modeling, Python & Cloud
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your proficiency in Python in your application. We want to see how you've used it in previous roles, especially in systematic trading or quantitative research. Don't just say you're good at it; give us examples!
Quantitative Experience is Key:Since we're looking for someone with 3+ years in the field, be sure to detail your relevant experience in quantitative analysis. We love numbers, so include any specific projects or models you've worked on that showcase your skills.
Collaboration is Crucial:This role involves working with various teams, so let us know about your teamwork experiences. Share instances where you collaborated effectively to deliver high-quality applications or manage risk. We value communication and collaboration!
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 don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at UBS
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific projects where you've used Python for quantitative analysis or model development. Practising coding challenges can also help you demonstrate your proficiency.
✨Understand Financial Mathematics
Since the role requires a solid grounding in financial mathematics, review key concepts and be prepared to explain how you've applied them in previous roles. Think about examples where your mathematical skills directly contributed to successful outcomes in systematic trading or quantitative research.
✨Showcase Your Collaboration Skills
Collaboration is key in this role, so think of examples where you've worked effectively with other teams. Be ready to discuss how you’ve communicated complex quantitative concepts to non-technical stakeholders and how you’ve contributed to effective risk management strategies.
✨Familiarise Yourself with Cloud Technologies
As the position involves working with large-scale data and advanced analytics, it’s beneficial to have a grasp of cloud technologies. Research the specific tools and platforms UBS uses, and be prepared to discuss how you’ve leveraged cloud solutions in your past work.
