At a Glance
- Tasks: Use data to solve real-world problems and drive business growth in FinTech.
- Company: Join a leading FinTech company revolutionising banking solutions.
- Benefits: Competitive salary, attractive benefits package, and opportunities for professional growth.
- Other info: Collaborative environment with exposure to diverse projects and teams.
- Why this job: Make an impact with your analytical skills in a rapidly expanding industry.
- Qualifications: 2+ years in data analysis, strong problem-solving skills, and a relevant degree.
The predicted salary is between 35000 - 60000 £ per year.
Our client is a respected player in the revolutionary Fintech, Banking Solutions and Challenger Bank arena. Financially strong with a portfolio of Fintech products, they offer customers financial solutions and app-only banking as an alternative to the traditional high-street banks.
DATA SCIENTISTS REQUIRED FOR RAPIDLY EXPANDING FINTECH IN LONDON.
Basic Salary £35,000 - £60,000 (Depending on Experience), Plus Attractive Package of Benefits.
Our client is looking to strengthen their expanding team and currently has opportunities for individuals from a data science and analytics background with direct experience in financial technology, banking or the wider FinTech world. Ensuring App-Only banking is available to everyone, everywhere requires the success of our stakeholders, partners and internal business units. The Data Science group supports these partners by utilising the vast data set generated by our customers globally, through their daily transactions. The aim is to build on innovation to produce creative solutions that have an immediate and positive impact on the business, enabling faster more accurate decision making and accelerated growth.
Working as part of the overall core team, you will work cross-functionally with internal teams and external partners to complement business vision and strategy with your analytical expertise. To support our client's rapidly expanding organisation we are looking for Data Scientists who are equally passionate about the opportunity to use rich data to tackle meaningful business problems. You will join one of the Data Science focus areas with an opportunity to gain broad exposure to the overall data science group.
Responsibilities:
- Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to leverage our unique data to predict, prevent and solve business problems.
- Communicate with stakeholders to understand the challenges they face and present clear data to convince them of clear strategies and solutions.
- Apply quantitative analysis, and data mining to extract, capture and understand data to form an opinion on how to best help our clients and derive relevant insights for strategies in customer interaction and product or business growth.
- Develop visualisations to make your complex analyses accessible to a broad audience.
- Partner with a variety of internal teams and external partners to provide comprehensive solutions.
- Find opportunities to craft products out of analyses that are suitable for multiple clients.
- Initiation of A/B experiments to test solutions and expand or improve product offerings.
Qualifications:
Are you passionate about data, are you a natural problem solver, can you confidently take on the responsibilities described above? If so then please apply with your CV today, ideally successful candidates should have a mix of the following qualifications:
- 2+ years experience in data-based decision-making or quantitative analysis.
- Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science or many others (graduate degree is a plus).
- Experience with extracting and aggregating data from large data sets using SQL or other tools.
- Competence in Excel, PowerPoint and Tableau.
- Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata or others).
- Previous exposure to financial services, FinTech, credit cards or merchant analytics is a plus, but not required.
- Insight and experience of applying Data Science in one or more of the following areas: Business Engagement, Business Growth, Customer Experience & Interaction, FinCrime, Retail Engagement and Growth.
If you feel you have the above attributes and you could be successful in this role, please apply with your updated CV to be considered. Applications will be welcomed from candidates who can demonstrate a track record of data science, data analysis and problem solving with experience directly in FinTech or within a similar role.
Keywords: Fintech, Challenger Bank, Banking Services, App Only Banking, Financial Technology, Banking, Data Science, Data Analytics, Big Data, Technology, Finance, Business Engagement, Business Growth, Customer Experience, Interaction, FinCrime, Retail Engagement, Growth.
Data Scientist - Fintech employer: Degree 6
Our client is an exceptional employer in the Fintech sector, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong focus on employee growth, they provide comprehensive training and development opportunities, alongside an attractive benefits package that enhances work-life balance. Joining this rapidly expanding team means being part of a forward-thinking organisation that values creativity and empowers its employees to tackle meaningful challenges in the financial technology landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Fintech
✨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 Degree 6!
✨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 Data Scientist - Fintech at Degree 6.
✨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 Degree 6.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist - Fintech at Degree 6, 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 Data Scientist - Fintech
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 Degree 6, 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 Degree 6. 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 Degree 6
✨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 Degree 6!
✨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.
