Harnham
Director of Data - Alternative Data & Investment Insights

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Job Title
Want to shape how investors discover insights before earnings are released?
Excited by assessing messy datasets and proving whether they contain genuine signal?
Looking for a leadership role where you can create entirely new data products and KPIs?
We're partnering with a high-growth alternative data business that provides daily revenue estimates and KPI forecasts for over 250 listed companies globally. Using proprietary B2B and B2C datasets, they help investment professionals understand company performance and identify emerging trends ahead of traditional financial reporting. The business has built a strong reputation within the investment community and continues to expand its data coverage and product offering. This role sits at the centre of that growth, helping determine which datasets become the next generation of client-facing insights.
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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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.
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About the Role
This is a leadership role within the Data Research function, responsible for evaluating new datasets and identifying commercially valuable signals. You'll combine statistical rigour, commercial thinking, and innovation to create new research methodologies, KPIs, and data products.
Key Responsibilities
- Lead evaluation of new datasets and assess commercial viability
- Drive data discovery, feature engineering, and signal generation initiatives
- Apply hypothesis testing, correlation analysis, and time-series analysis to validate findings
- Develop innovative KPIs, insights, and client-facing research products
- Partner with Data Partnerships to assess prospective data vendors
- Manage and develop the Data Research team
- Improve the use of existing datasets through new analytical approaches


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Key Details
- Salary Range: £130,000-£150,000
- Working Model: 100% remote flexibility
- Tech Stack: Python
- Visa Sponsorship: Cannot sponsor
Interested? Please apply below.
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