Growth Lead (Kriya)

About Allica Bank

Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech.

Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.

This opportunity sits within Kriya, which recently became part of Allica Bank and is now entering an exciting new chapter. As a leading fintech lender helping SMEs access fast, flexible funding solutions, Kriya combines entrepreneurial energy with the scale, backing, and ambition of the wider Allica group. This role will play an important part in shaping Kriya’s next phase of growth.

Role Description

We're standing up a new growth function to scale our existing SME lending products and launch the next generation of them. This is a foundational hire: you'll help shape how growth works at Kriya-Allica from day one, built AI-native and experiment-led from the ground up.

You'll find the highest-impact growth bets across the business and prove them out — fast. You'll use AI tools to build prototypes, landing pages, automations and lightweight integrations, run experiments end-to-end, and turn what works into clear recommendations for product and GTM. This is a hands-on role for someone who'd rather ship a scrappy test on Monday than write a strategy doc for Friday.

Principal Accountabilities

• Find the bets. Map our funnels, spot the constraints, and propose where to focus across acquisition, activation, retention and monetisation.

• Form sharp hypotheses. Each one with a clear mechanism, target segment, expected impact and success metric.

• Build and ship the test. Use AI tools (e.g. Claude Code, Codex, Cursor, v0, Lovable, etc.) plus no-code (Webflow, Make, Retool, Zapier) to produce working prototypes, landing pages, onboarding flows, email sequences, internal tools, or whatever the experiment needs. Wire in the instrumentation to measure it.

• Read the results honestly. Set up the tracking, run the analysis, document the learning — even when the answer is "this didn't work."

• Double down on what scales. When something works, let’s do more of it and productionalise it so that we can reap ROI and grow revenues and profitability

• Build the muscle. Maintain a public experiment backlog and reusable playbooks so the whole company gets sharper over time.

Recent examples of what this looks like

• An automated lead-scoring brain that surfaces the highest-intent SMEs for the Kriya-Allica team to work actively, so sales effort goes where it converts.

• AI-powered initial customer contact that auto-generates indicative quotes and collects supporting documents, compressing days of back-and-forth into minutes.

• AI credit underwriting agents that risk-assess applications and accelerate the path from application to decision.

• CRM reactivation campaigns that keep Kriya-Allica front of mind for the tens of thousands of companies already in our database.

  
  

Personal Attributes & Experience

• 3+ years in growth, product, analytics or operator roles where you owned outcomes, not just outputs.

• A track record of designing and running experiments that moved revenue, CAC, LTV or conversion — and the analytical confidence to interpret them properly (funnels, cohorts, basic stats, knowing when a result is real).

• Hands-on fluency with AI tools for building, not just writing. You can go from idea to clickable prototype to instrumented test without waiting on engineering.

• Comfort stitching together no-code, APIs, webhooks and lightweight backends to make experiments w