Fortray Global Service Limited
Graduate Mathematician

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Graduate Mathematician
About the Role
Are you a recent Mathematics graduate looking to begin your career in analytics, business intelligence, finance, technology, or research? We are looking for a highly analytical and detail-oriented Graduate Mathematician to join our growing team. This entry-level opportunity is ideal for graduates who enjoy solving complex problems, analysing data, and applying mathematical principles to real-world business challenges.
No prior professional experience is required. Comprehensive training and mentorship will be provided to help you build a successful career in mathematics, analytics, and business problem-solving.
Key Responsibilities
- Analyse datasets to identify trends, patterns, and actionable insights.
- Apply mathematical and statistical techniques to solve business problems.
- Assist in developing predictive models and analytical solutions.
- Support business forecasting, reporting, and performance analysis.
- Perform data validation, cleansing, and quality assurance.
- Prepare reports, dashboards, and presentations for stakeholders.
- Conduct quantitative research and interpret analytical findings.
- Assist in process improvement and operational efficiency initiatives.
- Work with cross-functional teams to support data-driven decision-making.
- Document analytical methodologies and project outcomes.
- Learn and apply mathematical modelling techniques in business scenarios.
- Stay updated with emerging analytical tools and technologies.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
Required Qualifications
- Bachelor's degree in Mathematics, Applied Mathematics, Computational Mathematics, or a related quantitative discipline.
- Recent graduate.
- Strong mathematical, analytical, and logical reasoning skills.
- Excellent problem-solving abilities.
- Good understanding of algebra, calculus, probability, and statistics.
- Basic knowledge of Microsoft Excel.
- Strong communication and presentation skills.
- High attention to detail and accuracy.
- Ability to work independently and collaboratively.
- Passion for learning new analytical tools and technologies.
Preferred Skills


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- Basic knowledge of Python, R, SQL, or MATLAB.
- Familiarity with Power BI or Tableau is an advantage.
- Understanding of data analysis and statistical techniques.
- Exposure to mathematical modelling or optimisation concepts.
- Academic projects involving mathematics, analytics, or programming are beneficial but not required.
What You'll Gain
- Structured graduate training and mentoring.
- Hands-on experience with real-world analytical and mathematical projects.
- Exposure to data analytics, business intelligence, and quantitative modelling.
- Career progression opportunities in Data Analytics, Business Intelligence, Financial Analysis, Operations Research, Data Science, and Consulting.
- Collaborative and supportive working environment.
- Continuous learning and professional development opportunities.
Equal Opportunity Employer
We are an equal opportunity employer and welcome applications from graduates of all backgrounds. We are committed to creating an inclusive workplace where everyone has the opportunity to succeed.
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