Junior MI Analyst
Leeds, England, United Kingdom
Amplifi Capital
Amplifi Capital UK. We grow credit unions. We work with the boards and members of credit unions to deliver sustainable growth for their organisation and improve the financial well-being of their members.About Us:
One third of the UK working age population are unable to access affordable credit. We at Amplifi want to rectify this issue. We aim to improve the nation’s financial health, using our state-of-the-art FinTech ecosystem, allowing ethical lending via credit unions accessible to everyone in the UK.
Amplifi Capital are one of the top 5 lenders in the near prime unsecured personal loans market in the UK. Through our innovative work we have grown our new customer volumes by 5 folds in just the last two years alone. Aiming to increase that number even further as we progress.
We are the biggest name in the UK credit union market with the two largest Credit Unions in the UK on the Amplifi platform. We at Amplifi Capital want to go beyond that, aiming to be the biggest player in the UK personal loan market for the near prime segment. Standing out against our competitors, being at the forefront of personal loans market.
We don’t just want to stop there, with the launch of the Reevo Money and our anticipated credit card product in mid-2025 we are expanding our footprint in the near prime lending space.
People always come first at Amplifi Capital. From how we engage with our customers to the thorough recruitment process. Our journey is just getting started, the business has attracted amazing talent so far, and we don’t plan on stopping yet!
The Role:
As a key member of our team, the successful candidate will be responsible for designing and implementing an effective MI & Reporting Framework to visualize and share data with our Customer Operations team. This role involves providing ongoing improvements to the MI suite of reports, creating dashboards, scorecards, and KPIs to keep senior managers informed of developments within the function.
The candidate will report from core operational systems and databases to understand risk level information and its interaction with other data sources across the business. They will present reports and data in varied formats using tools such as Power BI and automate tasks using SQL, Python, MS Power Suite, etc., to continually improve processes and systems.
Responsibilities
- Design and implement an effective MI & Reporting Framework to visualise and share data, with our customer operations team.
- Providing management with analytical insight, performance reporting, forecasting, and ensuring best practice in all projects and programmes. Develop and maintain dashboards and reports
- Participate and support in customer improvement strategies and projects by articulating and developing solutions to address varied customer scenarios
- Ensure all deployed strategies, solutions, and processes are adequately documented with appropriate controls, governance, and risks recorded
- Support data-driven decision-making across the organization
- Provide ongoing improvements to the MI suite of reports, creating dashboards, scorecards and KPI’s to keep senior managers informed of developments within the function
- Report from the core operational systems and databases to understand risk level information and its interaction with other data sources across the business
- Present reports and data in varied formats using tools such as Power BI
- Automate tasks using SQL, Python, MS Power Suite etc. to continually improve processes and systems.
- Undertake testing and implementation of new processes and procedures
- Liaise and collaborate with teams across the business including Credit Risk, Operations, Finance, Compliance and Operations departments providing support on BAU, projects and ad-hoc reporting
- Reporting key insights at multiple business levels including higher up
- Have a clear understanding of the MI and Reporting team’s customer’s requirements and outcomes.
- Ensure a high degree of data quality by creating validation rules and report on exceptions for remediation.
- Complete and submit monthly and quarterly regulatory returns in a timely manner.
- Champions the company values and works in accordance with the organisational behaviours.
Requirements
Essential:
- Educated to degree level in a relevant subject to Data Analytics, (computing / programming / mathematics / statistics / economics).
- 3+ years’ experience of data analysis and report building in Power BI.
- Data visualisation experience.
- Intermediate understanding of relational database architecture and querying using SQL.
- Familiar with data warehousing, data lake and ETL processes.
- A high degree of self-motivation and the ability to work flexibly
- Proficiency in data analytics tools (e.g. SQL, Power BI, Snowflake, Python)
- Able to analyse complex problems and data to generate effective solutions for the business
- Customer-centric solutions architect
- Dynamic approach to problem-solving
- Ability to understand technical processes
- Ability to break down large problems and communicate them to a non-technical audience
- Experience with Agile methodologies
Desirable:
- Experience with Databricks platform
- Familiarity with Machine Learning tools and techniques
Personal Attributes:
- High attention to detail and a commitment to accuracy.
- Proactive and self-motivated with a problem-solving mindset.
- Strong ethical principles and a commitment to maintaining confidentiality.
- Ability to manage multiple tasks and work effectively under pressure.
- A collaborative mindset with the ability to work across several teams
Benefits
- Competitive salary
- 25 days annual leave
- Private Health Cover via Bupa
- Cycle-to-Work Scheme
- Subsidised Nursery scheme
- Hybrid working (2 days from home)
Commitment:
We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
Please note that all offers of employment are conditional on us obtaining satisfactory pre-employment checks, including a DBS check, a credit check and employment references.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Credit risk Data analysis Data Analytics Databricks Data quality Data Warehousing Economics ETL Finance FinTech KPIs Machine Learning Mathematics Power BI Python RDBMS Snowflake SQL Statistics Testing
Perks/benefits: Career development Competitive pay Health care
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