Data Scientist - Fintech

Degree 6; Greater London; On-site; GBP 35,000 - 60,000; Full time

Job summary

A respected FinTech company in Greater London is seeking passionate Data Scientists to enhance their rapidly expanding team. Ideal candidates have a background in data science, strong analytical skills, and ideally some experience in financial technology. Responsibilities include leveraging unique data for predictive solutions, engaging stakeholders, and conducting quantitative analysis to optimize business strategies. Competitive salary between £35,000 - £60,000 along with an attractive benefits package is available.

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, or computer science.
• Experience with extracting and aggregating data from large data sets using SQL or similar tools.
• Competence in Excel, PowerPoint, and Tableau.
• Experience analyzing data using statistical software like Python, SAS, R, or Stata.
• Previous exposure to financial services or FinTech is a plus.

Responsibilities

• Brainstorm innovative ways to leverage data for business solutions.
• Communicate with stakeholders to understand challenges.
• Apply quantitative analysis and mining to derive insights.
• Develop visualizations to present complex analyses.
• Partner with internal teams for comprehensive solutions.
• Initiate A/B experiments to improve products.

Job description

Our clientis a respected player in the revolutionary Fintech, Banking Solutions andChallenger Bank arena. Financially strong with a portfolio of Fintech products, they offer customers financialsolutions and app-only banking as an alternative to the traditional high-street banks.

Job Description

DATA SCIENTISTS REQUIREDFOR 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 availableto 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 customersglobally,through their dailytransactions. Theaim 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 team 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 areaswith an opportunityto 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 leverageour unique data to predict, prevent and solve business problems.
• Communicate with stakeholders to understand the challenges they face and present cleardata 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 incustomer interaction and product or business growth.
• Develop visualisations to make your complex analyses accessible to a broad audience.
• Partner with a variety of internal teamsand 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 youconfidently 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 Sciencein one or more of the following areas:Business Engagement,
  Business Growth, Customer Experience & Interaction, FinCrime, Retail Engagement and Growth

Additional Information

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 atrack record of data science, data analysis andproblem solvingwith 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