At a Glance
- Tasks: Develop and implement risk management models for cutting-edge financial applications.
- Company: Join a major global exchange known for innovation and excellence.
- Benefits: Competitive salary, contract bonus, and opportunities for professional growth.
- Other info: Dynamic role with significant responsibility and career advancement potential.
- Why this job: Make a real impact in finance while enhancing your software development skills.
- Qualifications: Experience in quantitative modelling, strong programming skills, and attention to detail.
The predicted salary is between 110000 - 110000 £ per year.
Quant Capital is urgently looking for a Quant Analyst to join our high profile client. Our client is a well-known major global exchange. You will be part of a team building cutting-edge applications and services supporting cross-asset trading and risk management.
The successful candidate will have a passion for software development and the desire to constantly improve both their skills and the solutions they work on. The role will be working on different financial derivatives across various asset classes from equities, commodities, fixed income to credit default swaps (CDS). The successful candidate will engage with various groups in the organization from product control to front line risk teams and sales teams.
- Research, develop and implement risk management models for the Clearing Business
- Work with risk managers to provide quantitative support and analytical tools to investigate and understand market risks, liquidity risks, counterpart credit risks, etc.
- Model review, documentation and validation remediation to ensure compliance with the Model Risk Governance Framework
- Review and interpret results of ongoing model performance tests (e.g. back testing)
- Develop and implement new quantitative models and pricing functions
- Work and coordinate with model validators in model validation/re-validation review process
- Prepare analyses for regulatory submissions of model changes and introduction of new models
Quant Analysts must have:
- Experience in a comparable quantitative modelling or analytics role
- MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field or relevant work experience
- Strong mathematical knowledge of financial derivatives pricing and risk management models
- Good data science experience
- C++/C#/Java or Python programming skills
- Experience with SQL
- Solid numerical programming abilities
- Excellent attention to detail with ability to work independently and also as part of a team
This role suits someone from a software development background that is looking to take on serious responsibility. We are looking for consultants who want to take ownership of products and take considerable responsibility and the bonus that goes with that.
My client is based in Central London.
SQL Analyst (Contract) in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land SQL Analyst (Contract) in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Quant Capital before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Quant Capital.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Quant Capital.
We think you need these skills to ace SQL Analyst (Contract) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Quant Capital, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Quant Capital, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Quant Capital’s attention and show the tangible impact of your work.
How to prepare for a job interview at Quant Capital
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Quant Capital.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Quant Capital.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Quant Capital.
