At a Glance
- Tasks: Lead a dynamic data analytics team to drive impactful solutions in fintech.
- Company: Join a renowned fintech company revolutionising payments and invoicing globally.
- Benefits: Enjoy a relaxed work environment, competitive salary, and opportunities for growth.
- Other info: Work in a vibrant atmosphere similar to Facebook or Google.
- Why this job: Make a real difference with data while working with cutting-edge technologies.
- Qualifications: Experience in data analytics and team leadership; passion for technology is key.
The predicted salary is between 72000 - 88000 £ per year.
Data Analytics Team Lead – Fintech Quant Capital is urgently looking for a Data Analytics Team Lead to join our high profile client.
Our client is a well known fintech in the payments and invoicing space.
It has offices globally.
The Data team manages the commercial operations of the business and recommends and implements areas for improvement across customers pricing, business process, controls and reporting.
The Data Team are responsible for testing, deploying and documenting new reports; managing complex queries from support teams; developing solutions to simplify or speed up these using data automation; pro-actively monitoring the health of IT reporting platforms; as well as performing other ad hoc reporting requests.
Working with product and technology groups across the company to enable adoption automation allowing us to make smarter business decision using data.
This a hands on role, working with developers in the team to develop our systems but also to take the lead on the team’s architecture and design.
It is also expected that the Team Lead will work with members of other teams to ensure co-ordination and alignment of solutions.
Day to day the Data Analytics Team Lead will
- This is an agile team environment within a well-established company.
You will work closely with people in your team / squad and liaise closely with the product owner to understand the business requirements, design the solution, build complex applications and release to production at a fast pace.
- Line management of Data and Analytics team (4 members) including remote workers.
- Working in SCRUM development environment, tracking development requests in JIRA
- Support the creation of service proposals; providing consultations, demos and training for internal and external users and customers
- Work closely with the business to identify issues and use data to propose solutions for effective decision making.
Conduct in‐depth data analysis, using market‐leading technologies and coding languages, to look for solutions to highlighted business problems
- Merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation that tell compelling stories about how customers or clients work with the business
- Test and Deploy new reports.
Manage the reporting catalogue and security.
Troubleshoot data and server errors within reports and liaise with global support teams as needed.
- Management of ad Hoc reporting queries from internal ticketing system.
- Authoring of high-quality technical and support procedure documentation.
The Data Lead Must have
- Experience in a senior BI or Data Analytics role in a SAAS environment
- Experience in an analytical / algorithm / data / software development role
- As an experienced Business Intelligence developer, you will likely have exposure to some or all of the technologies used, though a willingness to learn and develop is much more important than specific experience.
- Strong background in SQL using MS Visual Studio and Oracle SQL Developer
- Experience of Qlik Sense would be advantageous
- Experience of other languages / technologies would be advantageous, especially web technologies like Java, HTML, CSS.
- Experience of leading a small team is desired 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 those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
My client is based in Central London Data, SQL, Salesforce Marketing, Product Head, Payments, Business Analysis, Programme Manager SWIFT, BACS Head of MArketing
Data Analytics Team Lead – Fintech 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 Data Analytics Team Lead – Fintech in London
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We think you need these skills to ace Data Analytics Team Lead – Fintech 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.
