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For Companies At a Glance
- Tasks: Analyse data, build models, and provide insights to optimise operations.
- Company: Join a leading FinTech firm backed by a top Hedge-Fund, focused on growth and ethics.
- Benefits: Enjoy bonuses, pension, courses, and a vibrant office in Manchester City Centre.
- Why this job: Make a real impact with cutting-edge tech while developing your career in a unique environment.
- Qualifications: Degree in a quantitative field; experience in Data Science or Analytics; coding skills in Python and SQL.
- Other info: This hybrid role offers a chance to grow in a rapidly expanding company.
The predicted salary is between 28800 - 48000 £ per year.
This range is provided by PeopleGenius. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from PeopleGenius. About the Company A shining light in the FinTech space – with leading-edge tech, ethics, meritocracy, and real growth. Backed by one of the largest Hedge-Funds in the world. Data and Analytics is at the very heart of everything they do. A growth Business. Benefits include Bonus, Pension, Courses and self-development, food, cerebral colleagues and your chance to genuinely make an impact with cutting edge tech in the biggest projects in the Business. This is a hybrid role 3 days per week in the office in Manchester City Centre. A genuinely unique opportunity to develop your career and become a sought-after Data Scientist – Analyst, Coder & Modeller whilst learning the in\’s and out\’s of a niche FS Employer. About the Role These roles are about pricing portfolios or optimising operations by analysing data, building and maintaining statistical models and leveraging your coding skills to provide actionable insights. You’ll manage the application of Decision / Data Science techniques, you’ll create and maintain models and above all you’ll get excited about the investments you make. Required Skills Degree Educated in Statistics, Economics, Financial Mathematics / Operational Research / Stats or similar Quant. Experienced – be it in Data Science, Insight, Risk, Data Analytics – anything using Analytical and Problem Solving skills. You’ll have Modelling skills. Coding ability in Python and ideally some SQL. These are key roles in a firm who are currently undergoing exponential growth – it’s an exciting time to join and for the right people could be real career-makers. Our client also offers a strong bonus, excellent benefits and an amazing city centre location to work in on a hybrid basis. Seniority Level Entry level Employment Type Full-time Job Function Engineering and Information Technology Industries Data Infrastructure and Analytics, Financial Services, and Banking #J-18808-Ljbffr
Contact Detail:
PeopleGenius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Scientist / Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in data science and analytics, especially within the FinTech sector. This will not only help you understand the company's focus but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects to showcase your coding abilities and problem-solving skills.
✨Tip Number 3
Network with professionals in the data science field, particularly those who work in FinTech. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 4
Prepare to discuss your analytical and modelling experiences in detail. Be ready to share specific examples of how you've used data to drive decisions or improve processes, as this will demonstrate your practical knowledge and enthusiasm for the role.
We think you need these skills to ace Graduate Data Scientist / Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the job description. Emphasise your degree in Statistics, Economics, or similar fields, and showcase any experience in Data Science, Analytics, or coding in Python and SQL.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also demonstrates your understanding of the FinTech industry. Mention how your analytical and problem-solving skills can contribute to the company's growth and success.
Showcase Your Projects: If you have worked on any relevant projects, whether academic or personal, include them in your application. Highlight your modelling skills and any practical applications of data analysis that demonstrate your ability to provide actionable insights.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data-related roles.
How to prepare for a job interview at PeopleGenius
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and problem-solving. Bring examples of projects where you've used statistical models or coding skills, particularly in Python or SQL, to derive insights.
✨Understand the FinTech Landscape
Familiarise yourself with the FinTech industry and the specific challenges it faces. This will help you demonstrate your interest in the sector and how your skills can contribute to the company's growth.
✨Prepare for Technical Questions
Expect technical questions related to data science and analytics. Brush up on your knowledge of statistical methods, modelling techniques, and coding practices to confidently tackle these queries.
✨Express Your Passion for Learning
This role offers opportunities for self-development and growth. Convey your enthusiasm for continuous learning and how you plan to keep up with the latest trends and technologies in data science.
