LHV Bank, a fully licensed UK bank, specialises in Banking Services for global fintech and SME Lending solutions for UK businesses. The SME Lending division offers commercial real estate investment loans and trading loans from £0.5m to small and medium-sized businesses in the UK.
As a leading Banking Services provider, LHV Bank delivers a wide range of services, including real-time multi-currency payments, accounts, acquiring, indirect scheme access, open banking, and FX solutions. Over 200 renowned fintech companies, such as Airwallex, Currencycloud, Truelayer, and Wise, utilise LHV Bank to serve more than 10 million end customers and access a pool of 500 million potential customers across the UK and Europe.
LHV Bank gained its UK banking licence in May 2023 and intends to expand its offerings to e-commerce businesses and start accepting retail deposits later this year. More information: lhv.com
We are looking for an experienced Data Analyst with ability to pick up some of the data engineering tasks to join our growing team in our London office.
Please note this is a predominantly office-based role in London which will require you to come in and collaborate with the team at least 2-3 days a week.
Key Responsibilities:
- Working with business stakeholders (i.e. Finance, Risk, Compliance, Operations etc.) to understand reporting requirements and build Reports using reporting tools such as (Power-BI, Tableau, Quicksight etc.)
- Mapping data with the various sources to understand the data items required and work on sourcing strategy, design, and implementation.
- Identify manual reports and automate them using reporting tools.
- Train business users in reporting tools to enable self-serve reporting capability.
- Implement best practices
- Working with Head of Data to stablish reporting process (build, deployment, access control etc.)
- Working with Head of Data to create analytics and BI for the organisation.
- Create new ideas and implement AI solution to improve efficiency and reduce operational cost
Required Knowledge, Skills and Experience
Essential:
- Retail banking experience with the knowledge or how payments services, retail banking products work in UK market.
- Solid experience in data analysis and reporting.
- Sound knowledge of Python.
- Strong knowledge of SQL scripting.
- Good understanding of data modelling techniques with the ability to choose the most appropriate data model to meet business needs.
- Excellent communication skills.
- Proactive, self-starter with ability to work on own initiative to complete objectives.
- Ability to work collaboratively within an agile environment.
- Experience in Banking Services with payment processing.
Desirable:
- Experience working with AWS ecosystem.
- Data Ops (CI and CD experience).
