At a Glance
- Tasks: Design and implement cutting-edge quantitative models for QIS strategies and analytics.
- Company: Join a leading global financial services firm with a commitment to innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on cloud technology and AI/ML integration.
- Why this job: Make an impact in finance by developing advanced analytics and collaborating with top-tier teams.
- Qualifications: 3+ years in quantitative roles, strong Python skills, and a STEM background.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities:
- Lead the design, development, and implementation of quantitative models and analytics supporting the QIS business, covering strategy research, pricing, risk, and lifecycle management.
- Play a key role in designing and modelling the next generation of QIS strategies, partnering closely with Trading, Structuring and Sales from idea generation through production launch.
- Deliver high quality quantitative applications, tools, and workflows to support QIS Trading in managing, analysing, and hedging risk.
- Contribute to the transformation of the QIS calculation stack, including migration towards a strategic, cloud based architecture in collaboration with IT and platform teams.
- Support internal and external stakeholders, including clients, third party calculation agents, and internal platform teams, ensuring robustness, transparency, and scalability of QIS analytics.
- Build and maintain strong working relationships with Trading, Structuring, Sales, Quant, IT, and Risk partners in London and across regions.
Qualifications:
- 3+ years of professional experience in QIS, systematic trading, quantitative research, structuring, or front office quant roles within Global Markets.
- Strong proficiency in Python for developing quantitative models, analytics, and production ready applications.
- Solid grounding in financial mathematics, time series analysis, and quantitative modelling techniques.
- Experience working with large scale data and analytics pipelines; familiarity with KDB/Q or equivalent technologies is required.
- Strong analytical, problem solving, and architectural design skills, with an ability to operate effectively in a front office environment.
- Academic background in Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline.
- Strong knowledge of AI/ML techniques, with experience delivering such models into production environments a plus.
- Proficiency in additional programming languages such as Java or C++; experience with performance critical or large scale systems is a plus.
- Experience with strategic cloud platforms and workflows (e.g. Azure based architectures); exposure to migration or platform transformation initiatives is advantageous.
- Strong understanding of the end to end lifecycle of systematic strategies, from research and modelling through production and client delivery.
- Post graduate academic studies in a quantitative STEM subject.
QIS Quantitative Analyst employer: UBS
UBS is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong commitment to employee growth, we provide extensive training and development opportunities, ensuring our team members thrive in their careers while contributing to cutting-edge quantitative strategies. Our inclusive culture values diverse perspectives, empowering individuals to make meaningful contributions and drive impactful change within the QIS business.
StudySmarter Expert Advice🤫
We think this is how you could land QIS Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in QIS or related fields. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analytics projects. This is a great way to demonstrate your expertise in Python and financial mathematics to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Expect technical questions that test your knowledge of quantitative modelling and analytics. Practise explaining your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace QIS Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the QIS Quantitative Analyst role. Highlight your proficiency in Python, financial mathematics, and any relevant projects you've worked on that showcase your analytical skills.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about quantitative analysis and how your background aligns with our needs. Mention specific experiences that demonstrate your ability to work with large data sets and your familiarity with cloud-based architectures.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Include any programming languages you know, especially Python, Java, or C++, and discuss your experience with AI/ML techniques and large-scale systems. This is your chance to shine!
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 us you’re keen on joining our team!
How to prepare for a job interview at UBS
✨Know Your Quantitative Models
Make sure you brush up on the quantitative models and analytics relevant to the QIS business. Be prepared to discuss your experience in designing and implementing these models, as well as any specific projects you've worked on that align with the role.
✨Showcase Your Python Skills
Since strong proficiency in Python is a must, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be familiar with libraries commonly used in quantitative analysis.
✨Understand the Cloud Architecture
Familiarise yourself with cloud-based architectures, especially if you have experience with Azure. Be prepared to discuss how you've contributed to platform transformations or migrations in the past, as this will show your ability to adapt to modern technologies.
✨Build Relationships in Your Answers
Since collaboration with various teams is key, think of examples where you've successfully partnered with others, like Trading or IT. Highlight your communication skills and how you’ve built strong working relationships to deliver results.
