What we do
At Tuza, weve raised $7m from leading investors (Northzone, Connect Venture) to build the exchange for payments. We build technology to connect thousands of small businesses to financial service providers (Worldpay, Barclaycard, Revolut) in a way that is quicker, easier and fairer.
Your role at Tuza
As our first data hire, you’ll be tasked with designing, building and owning our data stack. You’ll also be responsible for applying your expertise in quantitative analysis to understand how our users behave. Your insights will feed into data products that you’ll own, as well as into our wider product strategy.
In your first month, you could explore:
* Transaction data to recognise tendency, temporal or spatial patterns.
* Mine KYC and KYB signals from structured and unstructured data to inform onboarding, pricing, and underwriting decisions.
* Build risk insights by combining onboarding data with in-life behaviour to detect anomalies and automate interventions.
* Design dynamic pricing models that personalise payment pricing based on business usage, risk, and segment.
* Launch product recommendation logic that serves merchants contextual bundles at the right moment in their lifecycle.
* Benchmark provider performance to show which of our partners are outperforming across time to board, churn, and margin.
* Create intelligent and personalised user experiences based on customer context to increase business-product fit and reduce time to conversion.
By the end of your first sprint, you will likely have built at least one data project live in production, in use by some of the UK’s largest banks and 1000s of their small business customers.
You’ll report directly to Tuza’s CEO and CTO and work alongside a team of ex-founders and founding employees.
You’re a great fit if
* You have a solid knowledge of data science.
* You work end-to-end - you can design, engineer and maintain our data stack.
* You’ve had exposure to a previous high-performance environment - this may be another startup backed by tier 1 investors, but it could just as easily be a competitive hobby.
* You know what good engineering practices look like - we need you to work with our engineering team to integrate your insights into our products.
* You find the extensive breadth and ambiguous nature of this role inspiring.
You’re a bad fit if
* You lack genuine interest in the data - we want you to be obsessed.
* You’re unopinionated on what you work on - we want you to care.
* You’re not interested in the commercial context or wider business strategy.
The Interview Process
There are three stages:
1. Initial Call with our CTO
2. Take-Home Technical Assessment
3. Technical Workshop
Our aim is to get candidates through the application process from start to finish within 2 weeks of applying.
What’s in it for you
* A competitive salary with generous equity.
* A hybrid working approach. Were based out of our Shoreditch office, with Monday and Thursday as core collaboration days.
* Flexible working hours. Most people arrive between 8 and 10, and leave between 6 and 7.
* Unlimited holiday with a minimum of 24 days.
* Macbook Pro, monitor, mouse and keyboard.
* £350 a year towards taking a break.
* £350 a year towards learning, development or a hobby.
* Team offsites around the world.
* Smart and kind teammates - leave your ego at the door.
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