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Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
This position is 100% Remote from Spain, Malta, UK
Duties
- Manage client risk, ensuring the highest margins on Swish products through +EV decisions
- Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings
- Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets
- Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions
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.
See breakdownIt searches the market for you
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.
Requirements
- Minimum of 3 years of in-game play experience at an online sportsbook
- Deep understanding of sports betting and odds origination
- Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
- Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly
- Results driven work ethic – focused on improving process, results and profitability
- Availability to work flexible schedules, including nights, weekends and/or holidays


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Preferred
- Bachelor’s Degree in a STEM discipline
- An understanding of relational database systems (MySQL)
- Experience working with cross functional teams (Data Science teams a plus)
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.
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