Quantitative Engineer: Analytics, Risk & Automation

Quantitative Engineer: Analytics, Risk & Automation

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Elevate Partners

At a Glance

  • Tasks: Develop analytics and tech solutions for investment and trading activities.
  • Company: Join a growing investment platform in Greater London.
  • Benefits: Excellent career progression and development opportunities.
  • Other info: Proactive mindset is key to success in this dynamic role.
  • Why this job: Combine your passion for tech and finance in a high-performing team.
  • Qualifications: 3-6 years of experience and strong Python programming skills.

The predicted salary is between 60000 - 80000 £ per year.

Elevate Partners is seeking a talented Quant Engineer in Greater London to join a high-performing team. This role involves developing analytics and technology solutions to support investment and trading activities across quantitative research, risk analytics, and data engineering.

The ideal candidate will have 3-6 years of experience, strong Python programming skills, and a proactive mindset. This is an excellent opportunity for someone with a passion for technology and financial markets.

Join a growing investment platform that offers excellent career progression and development opportunities.

Quantitative Engineer: Analytics, Risk & Automation employer: Elevate Partners

Elevate Partners is an exceptional employer located in Greater London, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, the company provides ample opportunities for career progression and skill development in the fast-paced world of finance and technology. Join a team that values your contributions and encourages a proactive approach to problem-solving, making it a rewarding place to advance your career.

Elevate Partners

Contact Details:

Elevate Partners Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Engineer: Analytics, Risk & Automation

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 Quantitative Engineer: Analytics, Risk & Automation 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 Quantitative Engineer: Analytics, Risk & Automation 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 Quantitative Engineer: Analytics, Risk & Automation

Python
Problem-Solving Skills
SQL
Communication Skills
Data Engineering
Automation
Attention to Detail

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.