Secured Credit Risk Manager

Lendable Ltd; Deutschland; Hybrid; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Flexible working

Health coverage

Retirement & savings

Employee referral programme

Hybrid roles

Zusammenfassung

Lendable Ltd is seeking a Credit & Commercial Manager to own credit strategy for a second charge mortgage product. You’ll shape risk assessment, pricing, and credit policy while partnering with product, engineering, legal, and commercial teams.

This foundational hire expects hands-on work across the full credit lifecycle and a drive to scale with automated decisioning and disciplined capital management. Applicants should bring deep secured lending experience, strong risk scoring and pricing

Qualifikationen

• Extensive experience in secured lending and second charge mortgages.
• Strong understanding of credit risk scoring, pricing, and policy.
• Experience designing for scale and automation in underwriting.
• Regulatory awareness of MCOB and FCA requirements for lending.
• Experience with data analysis, MI, and decisioning logic.

Aufgaben

• Define credit policy and underwriting strategy for second charge mortgages.
• Own risk scoring and pricing with scorecards and models.
• Drive growth while maintaining portfolio quality.
• Own IRR/NPV/cashflow models and inform funding strategy.
• Design automated decisioning logic and embed in the platform.
• Collaborate with Capital Markets on investor parameters.
• Monitor portfolio performance and report to senior stakeholders.
• Work cross-functionally with product, engineering, legal, and compliance.

Kenntnisse

Analytical thinking

Credit risk management

Secured lending

Pricing strategy

Policy design

Regulatory awareness

Startup/scale-up experience

Commercial mindset

Stakeholder collaboration

Tools

SQL

Python

Decisioning platforms

Jobbeschreibung

We're building our second charge mortgage product from the ground up. We're looking for a Credit & Commercial Manager to own credit strategy for this product - someone who understands the mechanics of secured lending end-to-end, from quote through to completion. This is a foundational hire. You'll shape how we assess risk, price loans, and structure our credit policy, working closely with a small, senior cross-functional team spanning product, engineering, legal, and commercial. If you've spent years working in secured lending and want to help build something new rather than maintain something old, this is the role.,

• Define credit policy and underwriting strategy for second charge mortgages, including affordability, eligibility, and decisioning frameworks
• Own risk scoring and pricing - develop and refine scorecards, risk segmentation, and pricing models that balance volume with portfolio quality
• Drive growth whilst balancing risk - use analytic and credit judgement to drive growth through credit policy, work with the commercial team team to hit volume targets, and all whilst maintaining portfolio quality
• Own the IRR/NPV/cashflow models - ensure we understand the economics of the asset we're booking, and drive changes where needed
• Design automated decisioning logic - translate credit policy into executable rules and decision trees that can be embedded in the platform, working with engineering to build the quickest, most automated secured product on the market
• Help shape funding strategy - collaborate with the Capital Markets team to inform investor parameters around LTV limits, property valuations, and portfolio concentration, translating these into practical credit policy
• Inform the property valuation and security process - ensure credit policy accounts for valuation methodology, panel management considerations, and charge registration requirements
• Monitor portfolio performance - track early indicators, refine strategy based on outcomes, and report to senior stakeholders
• Collaborate cross-functionally - work daily with product and engineering to embed credit decisioning into the platform, and with legal and compliance to ensure regulatory alignment (MCOB, Consumer Duty)
• Get stuck in - this is a small team building something from scratch. You'll be hands-on across the full credit lifecycle, not managing from a distance
• Deep experience in secured lending credit risk - you've worked on second charge mortgages or similar secured products (bridging, BTL, specialist residential) and understand the product inside out
• Strong knowledge of risk scoring and pricing - you've built or materially contributed to scorecards, pricing frameworks, or credit policy in a secured lending environment
• Understanding of funding and capital constraints - you know how LTV covenants, property valuations, and investor criteria shape what you can lend and to whom
• Commercial awareness and growth mindset - you understand that credit policy exists to enable lending, not prevent it. You think about accept rates, broker conversion, and competitive positioning alongside risk metrics
• Familiarity with the end-to-end secured lending process - from quote through to completion, including how valuation, legal, and land registry processes interact with credit decisions
• Analytical rigour - you're comfortable with data. SQL is required and Python experience is a plus, but what matters is that you think in numbers and can interrogate MI to drive decisions that lead to more good quality lending
• Regulatory awareness - working knowledge of MCOB and FCA requirements for second charge lending
• Experience designing for scale and automation - you understand how to structure underwriting policy as decision logic, scorecards, and rules that can be executed programmatically. You think in terms of tens of thousands of applications, not manual case-by-case review, Experience with loan servicing - settlements, collections, arrears management, and recoveries in a secured lending context
• Exposure to broker distribution models and how credit policy interacts with intermediary channels
• Experience working in a startup or scale-up environment, or a desire to move from a large organisation into one
• Experience with decisioning platforms or rules engines

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off to a strong start:

• One of the UK's newest unicorns with a team of just over 700 people
• Among the fastest-growing tech companies in the UK
• Profitable since 2017
• Backed by top investors including Balderton Capital and Goldman Sachs
• Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Life at Lendable

• Winning team: the opportunity to scale up one of the world's most successful fintech companies
• Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
• Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
• Health coverage: support for your physical and mental wellbeing, including private health cover
• Retirement & savings: long-term financial wellbeing through retirement savings plans
• Employee referral programme: earn a competitive bonus when you refer successful new team members

1. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
3. Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting