Job Description
Kriya is a fintech platform that keeps business flowing brilliantly by providing frictionless access to payments, credit and working capital through seamless integrations and instant credit decisions.
Founded in 2011, Kriya has helped businesses collect over £28 billion in B2B payments, and advanced over £3.7 billion worth of credit through working capital and business loans. Kriya has a wide-reaching network of strategic distribution partners including Barclays Bank UK PLC, and is backed by a prestigious array of equity investors including Northzone, Barclays Bank UK PLC and Mouro Capital (owned by Santander Bank).
What you’ll do
- Define build and implement our next generation application stage rules and credit risk models including working in close collaboration with our in-house manual underwriting teams to codify and embed their insights into our automated decisioning processes
- Monitor and manage to credit risk performance and periodic repricing and credit limit management of our existing portfolio of merchants and their SME customers
- Directly influence the minimisation of credit losses through development of collections strategies and both detective and reactive fraud defences
- Regularly collaborate across functions including Operations, Commercial, Business Development and Executive Leadership presenting analytical insights as pragmatic and commercially focused business strategies
- Shape the future requirements of our risk management data model through close collaboration with our Engineering teams
Requirements
- 3-5 years relevant experience working in the risk analytics function of a consumer / SME finance business
- Experience working with an industry standard cloud based analytical toolkit; ideally MS Azure and PowerBI
- Excellent communication;easily able to articulate complex concepts concisely and in simple terms to both technical and non-technical audiences
- The ability to collaborate, influence and build relationships throughout the organisation
- Strong delivery focus with ability to define structured priorities and goals in a fast paced working environment
- Numerical degree (i.e. mathematics, science, engineering or economics) from a top tier university or equivalent experience