At a Glance
- Tasks: Design and enhance risk models while collaborating on innovative tech solutions.
- Company: Join a growing entrepreneurial investment platform with a focus on technology.
- Benefits: Excellent career progression, development opportunities, and a dynamic work environment.
- Other info: Work on diverse projects in a collaborative team setting.
- Why this job: Combine your passion for finance and tech to make a real impact.
- Qualifications: Strong Python skills and experience in quantitative development or software engineering.
The predicted salary is between 60000 - 80000 £ per year.
This is an excellent opportunity for an engineer with a passion for financial markets and technology to work on a broad range of projects across quantitative research, risk analytics, data engineering, and process automation.
Key responsibilities include:
- Designing and enhancing risk models and performance attribution capabilities.
- Collaborating with investment, risk, and operations teams to deliver scalable technology solutions.
- Writing high-quality, production-grade code with a focus on reliability, maintainability, and performance.
- Contributing to both strategic initiatives and day-to-day development projects.
Requirements:
- 3–6 years experience in quantitative development, software engineering, or a similar technical role.
- Strong Python programming skills are essential and will be a key requirement for this position.
- Highly proficient in Python and comfortable building production-quality applications and analytics tools.
- Experience with Python libraries such as Pandas, NumPy, SciPy, Numba, or other data science frameworks would be advantageous.
- Exposure to financial markets, fixed income products, or credit instruments would be beneficial, although not essential.
Opportunity to join a growing and entrepreneurial investment platform with excellent career progression and development opportunities.
If you are a Python-focused Quant Engineer or Software Engineer with an interest in financial markets and would like to hear more, please get in touch for a confidential discussion.
Performance Developer employer: Elevate Partners
Join a dynamic and innovative investment platform that values your expertise in quantitative development and software engineering. With a strong focus on collaboration, you'll work alongside talented teams to create impactful technology solutions while enjoying excellent career progression and professional development opportunities. Our supportive work culture encourages creativity and growth, making it an ideal environment for those passionate about financial markets and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Performance Developer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Elevate Partners!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Performance Developer at Elevate Partners.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Elevate Partners.
✨Apply Directly through Our Website
When you find a suitable opening like Performance Developer at Elevate Partners, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Performance Developer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Elevate Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Elevate Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Elevate Partners
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Elevate Partners!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
