At a Glance
- Tasks: Develop and maintain market data publishing applications using C#.
- Company: Join a dynamic team in the financial services industry.
- Benefits: Competitive daily rate, flexible work environment, and opportunities for career growth.
- Other info: Inclusive culture that values diversity and innovation.
- Why this job: Make a significant impact in a fast-paced, innovative environment.
- Qualifications: Experience in quantitative development and proficiency in C# required.
The predicted salary is between 63000 - 77000 £ per year.
Location: London (2 days per week onsite)
Remuneration: Daily rate from £750 via Umbrella
Contract Details: Temporary, Initial 6 Months (Likely Extensions)
Responsibilities:
- Develop and maintain enterprise market data publishing applications.
- Dive deep into a large-scale C# application framework, ensuring top-notch performance.
- Support market data publication processes, guaranteeing accurate data across multiple internal platforms.
- Maintain market data entitlements and distribution to downstream systems efficiently.
- Work on strategic initiatives, including migrating legacy publishing processes to a central platform.
- Collaborate with Quantitative Research, Front Office, Market Data, and IT teams to foster synergy.
- Participate in the full software development lifecycle - from design and development to testing and deployment.
- Provide ongoing support for critical market data platforms that drive business success.
Required Skills & Experience:
- Proven experience as a Quantitative Developer in a financial services environment.
- Proficient in C# development, with a knack for contributing to large application libraries and enterprise systems.
- Experience in developing applications within real-time or market-facing platforms is essential.
- Strong grasp of software engineering fundamentals, design patterns, and object-oriented development.
- Ability to work autonomously and adapt quickly to changing priorities.
- Exceptional attention to detail and communication skills.
Preferred Experience:
- Exposure to market data platforms or market data publishing environments.
- Familiarity with at least one asset class such as Rates, Fixed Income, FX, or Inflation Products.
- Python development experience is highly advantageous.
- Understanding of market data entitlements and distribution processes is a plus.
- Experience supporting interconnected front-office platforms.
Education:
- Degree in a quantitative discipline such as Mathematics, Physics, Engineering, Statistics, or Computer Science.
- A postgraduate qualification (PhD, MSc, or equivalent) is beneficial but not essential.
Join our client's dynamic Market Publication Team and make a significant impact in the financial services industry! If you thrive in a fast-paced environment and are ready to take your career to the next level, we want to hear from you! Apply now and be part of a team that values innovation and excellence.
Quantitative Analyst in London employer: Pontoon
Pontoon is an excellent employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of London. With flexible working arrangements and a strong emphasis on professional development, employees are empowered to grow their skills while contributing to innovative AI-driven solutions in the banking sector. Join us to be part of a team that values your input and encourages meaningful contributions to customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst in London
✨Tap into Online Data Science Communities
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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.
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We think you need these skills to ace Quantitative Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pontoon, 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 Pontoon, 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 Pontoon’s attention and show the tangible impact of your work.
How to prepare for a job interview at Pontoon
✨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 Pontoon.
✨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 Pontoon.
✨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 Pontoon.
