Netrolynx AI
Credit Risk Manager
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About The Company
hackajob is collaborating with Lendable to connect them with exceptional professionals for this role.
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money. We are committed to transforming the consumer finance landscape by leveraging innovative technology, data-driven decision-making, and customer-centric solutions. As one of the UK's newest unicorns with a team of just over 700 talented individuals, Lendable has established itself as a leading fintech company. Our rapid growth is reflected in our status as one of the fastest-growing tech firms in the UK, and we have maintained profitability since 2017. Backed by top-tier investors including Balderton Capital and Goldman Sachs, we have earned the trust and loyalty of our customers, evidenced by an impressive 4.9-star rating across thousands of reviews on Trustpilot.
Our core achievement has been rebuilding the Big Three consumer finance products—loans, credit cards, and car finance—from scratch, allowing us to deliver funds into our customers' hands within minutes instead of days. As we expand into the UK and US markets, we aim to disrupt traditional banking systems, which are often hindered by outdated processes and systems. Our goal is to create a seamless, automated, and customer-friendly experience that leverages data, machine learning, and AI to simplify secured lending and enhance financial accessibility for all.
Join us if you want to take ownership across a broad remit, work with small, resourceful teams committed to solving problems innovatively, and contribute to building the best technology in-house. We believe in empowering our employees to make decisions that drive significant impact and foster a culture of continuous learning and growth.
About The Role
We are in the process of developing our second charge mortgage product from the ground up and are seeking a Credit & Commercial Manager to lead the credit strategy for this innovative offering. This role requires a deep understanding of secured lending mechanics, from initial quote to final completion, and an ability to shape credit policies that balance risk management with growth objectives. As a foundational hire, you will play a critical role in defining how we assess risk, price loans, and structure our credit framework. You will work closely with a small, high-caliber cross-functional team comprising product, engineering, legal, and commercial stakeholders.
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If you have extensive experience in secured lending and are eager to build something new rather than maintain existing systems, this is an excellent opportunity to make a tangible impact. You will be involved in designing scalable, automated decisioning processes, refining risk models, and collaborating on funding strategies—all while contributing to a product that aims to revolutionize secured lending in the consumer finance space.
This role offers a unique chance to influence the entire credit lifecycle, from policy creation to portfolio monitoring, ensuring our product remains competitive, compliant, and profitable.
Qualifications
The ideal candidate will possess deep expertise in secured lending credit risk, particularly in second charge mortgages or similar secured products such as bridging loans, buy-to-let, or specialist residential finance. You should have a proven track record in building or significantly contributing to risk scoring models, pricing frameworks, and credit policies within secured lending environments. A thorough understanding of funding and capital constraints, including LTV covenants, property valuations, and investor criteria, is essential.
Strong commercial awareness, coupled with a growth-oriented mindset, is vital. You should appreciate that credit policy is a tool to facilitate lending and growth, not restrict it. Familiarity with the end-to-end secured lending process—including valuation, legal, and land registry interactions—is required. Analytical rigor is critical; proficiency in SQL is necessary, and experience with Python is a plus, as is the ability to interrogate and interpret data to inform decisions.
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Regulatory knowledge, particularly of MCOB and FCA requirements for second charge lending, is important to ensure compliance. Additionally, experience designing scalable, automated underwriting processes—transforming credit policies into decision logic, scorecards, and rules that can be executed programmatically—is highly desirable.
Candidates with experience in loan servicing, broker distribution channels, or decisioning platforms will have an added advantage. We value individuals who are adaptable, innovative, and eager to contribute to a fast-paced, dynamic environment.
Responsibilities
- Define and develop credit policy and underwriting strategies for second charge mortgages, including affordability assessments, eligibility criteria, and decision frameworks.
- Own risk scoring and pricing models—develop, refine, and optimize scorecards, risk segmentation, and pricing techniques that balance volume growth with portfolio quality.
- Drive business growth while managing risk exposure—use data analytics and credit judgment to optimize credit policies, work collaboratively with the commercial team to meet volume targets, and maintain portfolio health.
- Manage IRR, NPV, and cash flow models—ensure comprehensive understanding of the economics of each asset, and implement adjustments as necessary to maximize profitability.
- Design and implement automated decisioning logic—translate credit policies into executable rules and decision trees, working closely with engineering teams to embed these into our platform for maximum automation and efficiency.
- Collaborate with the Capital Markets team to inform funding strategies—set investor parameters, including LTV limits and property valuation criteria, translating these into practical credit policies.
- Contribute to property valuation and security processes—ensure credit policies align with valuation methodologies, panel management, and legal requirements such as charge registration.
- Monitor portfolio performance—track key indicators, analyze
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