At a Glance
- Tasks: Develop and maintain market data publishing applications in a dynamic team.
- Company: Join a leading financial services firm with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for growth.
- Other info: Inclusive environment that values diversity and promotes career advancement.
- Why this job: Make a real impact in the financial sector while working with cutting-edge technology.
- Qualifications: Experience in C# development and a degree in a quantitative field.
The predicted salary is between 63000 - 77000 £ per year.
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Job Title: Quantitative Developer (Market Data Publishing)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.
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.
Strong grasp of software engineering fundamentals, design patterns, and object-oriented development.
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 (Ph D, 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!
We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more.
We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
We use generative AI tools to support our candidate screening process.
This helps us ensure a fair, consistent, and efficient experience for all applicants.
Implementation Analyst (Hybrid) in London employer: Adecco
Adecco is an excellent employer, offering a supportive work culture that values flexibility and work-life balance, particularly for the Seasonal DBS Cleaner role in Chelmsford. Employees benefit from a competitive pension scheme and various incentives, alongside opportunities for personal growth and development within a dynamic team environment, making it a rewarding place to contribute to the cleanliness of educational settings.
StudySmarter Expert Advice🤫
We think this is how you could land Implementation Analyst (Hybrid) 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 Adecco 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 Adecco.
✨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 Adecco.
We think you need these skills to ace Implementation Analyst (Hybrid) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Adecco, 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 Adecco, 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 Adecco’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adecco
✨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 Adecco.
✨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 Adecco.
✨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 Adecco.
