Graduate Data Scientist/Analyst
London, 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.Job Title:
Graduate Data Scientist / Analyst
Reporting To:
Data Leadership Team
Start Date:
14th August 2022
Location:
London
Type:
Full Time
About Us:
One third of the UK working age population are not able to access mainstream financial services. These people find themselves excluded from affordable credit and treated poorly by mainstream financial institutions. Too few are successfully supported on the journey to financial health. Our purpose is “To improve the nation’s financial health through accessibility, affordability and community.”
We are a fast-growing social FinTech company giving Not for Profit Credit Unions in the UK access to a state-of-the-art fintech ecosystem. Our aim is to grow a select group of Community Lenders into a network of challenger banks offering a viable alternative to high-cost lenders.
We are a small and dynamic team of about +140 people, offering a suitable graduate the opportunity to have an immediate impact on the business and grow with us as we look to add on 200-300 new colleagues in the next three years. We have over 50,000 customers on our platform and it’s increasing rapidly.
We grew 100% in size over the last year and the credit unions on our platform are the biggest players in the UK.
We have big ambitions and a management team to deliver it; with +100 years’ experience in banking across Credit Suisse, UBS, and Barclays.
The Role:
Please note you will be required to have the right to work in the UK without a visa and we are not able accommodate graduate visas right now.
The following the huge success of our data grad programme last year, we are pleased to announce we will be hiring 9 Graduate Data Scientists / Analysts in 2023.
The Graduate Data Scientist / Analyst will join an existing team working in a fast-paced start-up environment. You will move through a series of areas in a structured programme within the business including data and decision systems, credit risk and commercial analytics, after which you will have an opportunity to graduate into a permanent position within one of those teams. To do well in this role you need a great attitude, a passion for learning and a desire to succeed within the modern information economy.
Data and analytics is at the heart of our business and from the start of the programme you will be solving real world business problems that will have a significant impact to our activities.
Bring us your enthusiasm, technical skills and analytical mind to help us meet our growth aspirations. In return, we’ll give you an unrivalled insight into our fast-changing business, and all the training and expert support you need to become a Data Scientist or Analyst.
Responsibilities:
- Understand data structures, data storage and data systems
- Understand data creation and how to connect from operations to reporting
- Build reports appropriate to provide operations with business value via adding line of sight to management
- Analyse data to generate insights and understand exceptions
- Support other team members with quality checking, skills cross-sharing and learning together
- Processing confidential data and information according to guidelines.
- Understanding and appreciating the importance and implementation of security and security protocols
- Supporting initiatives for data integrity and normalization.
- Generating reports from single or multiple systems.
- Build and model out decision making Net Present Value models.
- Troubleshooting the reporting database environment and reports
- Learn and apply various model development techniques – traditional (GLM modelling) as well as more recent (Machine Learning)
- Lean and work with automated decision engines, understand the technical parameters, work with various tools and notations and implement decision strategies
- Learn how financial services operate and how to support the broader business in achieving the company goals
- Learn and apply the science behind credit management and how data, processes, systems and people all work together to deliver continuous improvement
Scheme Details
• Rotation programme across different disciplines and teams:
- Data and reporting (4 months) - Wrangling, extracting, standardising and productionising data into reports or tables
- Credit risk analytics (6 months) - Identifying and implementing strategies to minimise loses while maximising the bottom line, building and maintain predictive models
- Commercial analytics (6 months) - Identifying and Implementing strategies to maximise the bottom line using pricing and profit models
- Decision and Data Systems (6 months) - Support machine learning operations, build data pipelines and operate / maintain our decision systems
- Online courses for WPS / Python / Modelling / Data Science
- Classroom training on Business Model / Financial Modelling / Credit Risk Analytics
After the placements you will specialise in one of the teams above.
• Formal training will be provided:
- Online courses for WPS / Python / Modelling / Data Science
- Classroom training on Business Model / Financial Modelling / Credit Risk Analytics
Requirements
- Bachelor’s STEM degree from an accredited university.
- Ability to work well with others at all levels within a company
- Strong analytical and process thinking skills
- High-level written and verbal communication skills.
- Committed and driven – you won’t be here to make the coffee!
Benefits
- Salary: £32,000
- Annual discretionary performance related bonus
- 25 days annual leave
- Pension
- Discount shopping
- Private health insurance
- Sociable company
Selection process:
- Initial 45 min introductory call
- Invitation to an online assessment
- A face to face assessment centre in Canary Wharf, London
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
Tags: Banking Credit risk Data pipelines FinTech Machine Learning ML models Pipelines Python Security STEM
Perks/benefits: Career development Health care Insurance Salary bonus Startup environment Team events
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