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- Tasks: Drive the development of quantitative models and support data-driven solutions.
- Company: Leading quant finance firm in the UK with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and collaboration with tech teams.
- Why this job: Make an impact in finance while working on cutting-edge quantitative research.
- Qualifications: Advanced degree and strong programming skills in Python and SQL.
- Other info: Fast-paced environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading quant finance firm in the UK is seeking a Quantitative Analyst to drive the development of quantitative models and support data-driven solutions across various business lines. The ideal candidate will have an advanced degree and strong programming skills, particularly in Python and SQL.
Responsibilities include:
- Conducting quantitative research
- Leading risk model initiatives
- Engaging with stakeholders
This role offers an opportunity to work in a fast-paced environment while collaborating with technology teams on innovative finance solutions.
Quantitative Research Engineer — Risk Models & Data Pipelines employer: ICE
Contact Detail:
ICE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Engineer — Risk Models & Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to professionals in the quant finance space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and data pipelines. We recommend including projects that highlight your Python and SQL prowess, as this will make you stand out to potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects. We suggest practising common quantitative analysis questions and thinking about how you can demonstrate your problem-solving skills.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. By applying directly, you’ll ensure your application gets the attention it deserves, and we’re here to support you every step of the way.
We think you need these skills to ace Quantitative Research Engineer — Risk Models & Data Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills, especially in Python and SQL. We want to see how you can apply these skills to quantitative research and risk models, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who understand the specifics of the job description and can relate their experience directly to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and qualifications.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at ICE
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models you've worked on. Be prepared to explain your thought process and the impact of your work, as this will show your analytical capabilities.
✨Show Off Your Coding Skills
Since strong programming skills in Python and SQL are crucial, practice coding problems related to data manipulation and model development. You might be asked to solve a problem on the spot, so being comfortable with your coding abilities is key.
✨Engage with Stakeholders
Prepare to discuss how you’ve collaborated with different teams in the past. Highlight your communication skills and how you’ve translated complex quantitative concepts into understandable terms for non-technical stakeholders.
✨Stay Current with Trends
Familiarise yourself with the latest trends in quantitative finance and risk modelling. Being able to discuss recent developments or innovations in the field can set you apart and demonstrate your passion for the industry.
