At a Glance
- Tasks: Lead data science projects, build credit models, and enhance data warehousing.
- Company: Dynamic fintech company with a relaxed, startup-like culture.
- Benefits: Competitive salary, 10% bonus, remote work, and a fun team environment.
- Other info: Work in a calm atmosphere with a flat team structure and open dress code.
- Why this job: Join a growing team and make a real impact in consumer lending.
- Qualifications: 5 years of data science experience, strong SQL, and Python skills.
The predicted salary is between 63000 - 77000 £ per year.
Senior Data Scientist – Fintech/Financing110,000 Plus 10% Bonus Remote Working 2 days per month in the office Quant Capital is urgently looking for a Data Scientist to join our high profile client.
My Client is a well known global (yet not too corporate) financial software (fintech) business that has developed a unique proprietary front office lending solution.
This role is with an exciting business in the consumer lending space.
They have grown significantly over the past few years and are looking to add a motivated and experienced individual to lead their growing data science function.
This role offers the chance to work end-to-end across a range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space.
Day to Day the Senior Data Scientist will: Build a new Data Warehouse Build out a new set of credit model Work across the current range of credit models within the business Develop challenger models to improve and enhance the modelling suite Monitor and report on these models, taking oversight across the modelling process Lead Data Scientists should have:5 years of Data Science experience Data scientist with real hands-on experience Must have worked in the financial sector Responsible for creating models/scorecards which are used in production (experience not required)Able to converse clearly and concisely in English (verbally and written)Strong SQLStrong skills in Python/SQL or RStrong understanding of data warehousing AI Tooling The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions.
The atmosphere is calm and relaxed with an open dress code.
This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
The Culture of the firm is startup esc with a flat team structure and a great group of guys who all enjoy themselves.
My client is based in West London 2 days per month in the office maximum
Senior Data Scientist – Fintech/Financing in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist – Fintech/Financing in London
✨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 Quant Capital!
✨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 Senior Data Scientist – Fintech/Financing at Quant Capital.
✨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 Quant Capital.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist – Fintech/Financing at Quant Capital, 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 Senior Data Scientist – Fintech/Financing in London
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 Quant Capital, 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 Quant Capital. 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 Quant Capital
✨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 Quant Capital!
✨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.
