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About the Role
The role will involve the day-to-day analysis and production of insightful management information in line with developments in the insurance industry. The role will also be responsible for providing advice on and implementing day-to-day tactical and strategic reports designed to enable the company to achieve our strategic objectives.
Main Responsibilities
- Researching, developing, implementing, and integrating new reporting systems and applications which better position the company to achieve its strategic goals.
- Developing and presenting intranet-based MI dashboards for relevant stakeholders throughout the business.
- Utilizing data-warehouse capabilities to interrogate data and develop new data solutions.
- Assisting in the development, testing and implementation of new ETL procedures.
- Assist in the development and presentation of insights to management using business information on a day-to-day, tactical, and strategic basis.
- Assisting in the development of predictive models, maintenance & testing of existing models.
- Using predictive models & technical information to make recommendations to senior management for business improvement.
- Assessment of processes to provide insight into automation & improvement.
- Liaising and working with teams from around the business to create solutions to a common problem.
- Other duties as assigned.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Person Specification
Qualifications
- Degree level or equivalent qualification in Maths, Statistics, Physics, Actuarial Science, or another subject with similar high mathematical content.
- OR 3 years relevant experience in a similar industry role.
Essential Experience
- Experience of working with data analytics for example, data modelling, big data, data visualisation, stochastic analysis, data warehousing.
- Proficiency in MS Office products (Word, Excel, PowerPoint, Outlook).
- Experience of using programming languages e.g., SQL, VB, R, SAS.
Desired Experience
- Experience of working with data analytical tools for example: Matlab, R, Python.
- Experience working with SSMS, SSRS, SSIS, SSAS.
- Experience of working collaboratively within a team to achieve a specific result.
- Experience of communication of technical subjects to a non-technical audience.
- Knowledge of analytical methodologies e.g., regression modelling.
- Knowledge of business processes or insurance.


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Skills, Abilities, And Competencies
- Strong numerical and analytical skills.
- Ability to apply analytical problem solving, make recommendations, and implement improvements.
- Makes effective use of technology to drive and improve processes.
- High attention to detail and accuracy.
- Strong interpersonal skills and ability to work within a team.
- Communicates information clearly and concisely to both technical and non-technical team members.
- The ability to promote ideas/solutions with confidence, credibility, and sound business rationale.
- Ability to report on large datasets & make reasonable recommendations based on trends in data.
- Demonstrable planning and organisational skills.
- Team worker, with responsibility & accountability for their own work.
- Focuses energy on priorities aligned to business goals.
- Delivers on commitments to others.
- Absolute passion for learning & continuous improvement.
- Ability to work in a fast-paced environment, multitasking etc.
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Skills