Data and Modelling Graduate

Job description

The data and modelling graduate role is in a growing area of the business, you will have a keen eye for detail, an enthusiasm for analysing and managing data as well as a determination and resilience to drive improvements. You will also be expected to build your understanding of our products and systems and to build strong relationships with the stakeholders across the business.

Key areas of work:

• Supporting the development of credit scorecards and strategies; working with key stakeholders to ensure credit risk is appropriately managed
• Working with stakeholders to analyse and understand key changes in the portfolio and the impact they have had on the Expected Credit Loss in the month
• Work with the Data Team and the wider stakeholder group to extract, summarise and report on key portfolio MI.
• Identify key data issues and gaps within the Quant Risk Data and support the Data and GTS teams to resolve any issues.
• Explore innovative methods to provide key insight to the business

You will become an expert in Together's credit risk data and the tools for extracting, manipulating, analysing and presenting it (SQL, Python, Power BI, MS Office), with the aim that after the programme you will be ready for a senior analyst role.

Throughout your programme you will be fully supported by a dedicated Academy mentors, as well as being by Senior Leaders and previous Together Graduates during the course of the programme.

What our programme offers you:

• Exposure to lots of meaningful business projects and departments to give you a rounded understanding of the Financial Services industry and our business (this will depend on the needs of the business at the time);
• Volunteering opportunities which will give you the chance to have a real impact on our business and on the wider community;
• Industry recognised qualifications (where applicable) to support you with your career;
• A competitive salary with annual review and bonus potential, as well as access to our industry leading long term incentive plan, Together Shared Rewards;
• A range of employee benefits including 26 days holiday (increases up to 29 with tenure), your Birthday off, access to a local gym, pension, health care, access to our company holiday homes, and much more!

What we are looking for

• Minimum achievement or expectation of a 2:1 degree in a numerical based subject such as data analytics, finance, maths, statistics, engineering, sciences related.
• Graduated in 2024 or are due to complete in 2025;
• Good knowledge of Excel and coding (such as SQL or R) would be very beneficial;
• Use of data visualisation tools such as PowerBI or Tableau is desirable but not mandatory as training will be provided.
• An interest and enthusiasm to work in the Financial Services industry

Accepted degree subjects

Any

Additional job details

How to apply

Our selection process consists of:

• Application (CV)
• A teams / telephone interview;
• An onsite (Cheadle) assessment centre.

Click Apply to start your application now. This job will be available on 蘑菇视频黄片 until 28 May 2025

Don't forget to mention 蘑菇视频黄片 to employers when you contact them.

Closing date:  28 May 2025