Jobs at Funding Circle

Lead daily complaints operations and manage a team of five complaints officers. Responsibilities include capacity planning, coaching, quality reviews, complex complaint escalations, FCA DISP and FOS-compliant decisions, risk management, process improvement, stakeholder reporting, complaint trend analysis, and responsible use of generative AI.

Manage a portfolio of vulnerable customers through collections and debt recovery. Responsibilities include arranging affordable payment plans, explaining balances clearly, signposting customers to support services, communicating by phone and email, and handling sensitive conversations involving mental health or suicidal ideation. The role requires balancing commercial needs with customer wellbeing, maintaining compliance and quality under pressure, and safely using approved generative AI tools to improve productivity.

Lead and scale the FlexiPay sales team through performance management, coaching, funnel analytics, conversion optimization, and continuous improvement. Manage daily floor performance, conduct live coaching, develop team strategies, improve workflows with generative AI and sales tools, coordinate cross-functional initiatives, monitor CRM insights, support hiring and onboarding, and ensure adherence to internal controls and policies.

Lead a software engineering team responsible for collections, recoveries, litigation, and investor management systems. Own complex cross-team delivery, technical strategy, architecture, engineering performance, and secure scalable solutions. Mentor engineers, resolve cross-team misalignment, communicate with technical and non-technical stakeholders, and promote effective use of AI tooling. The role requires strong programming experience in Ruby, Clojure, Python, or another major language, plus recognized technical authority.

Manage marketing audience logic, segmentation, workflows, and operational processes across tools including Segment, Amplitude, and Iterable. Improve campaign processes, operational standards, reliability, documentation, and risk controls while collaborating with developers, analysts, data product owners, and channel marketers. The role supports data-driven customer communications and introduces new technologies, including generative and agentic AI, into marketing operations.

Respond to borrower enquiries by phone and email, request information, update Salesforce, support loan applications, maintain accurate reporting, collaborate with suppliers and internal teams, and identify and mitigate operational risks and control weaknesses. The role also requires KPI-driven multitasking, transparent customer communication, and safe use of approved generative AI tools.

Manage marketing technology platforms and operations, partnering with engineering on solution design and implementations. Roll out platform features, enable self-service campaign users, automate workflows with agentic AI, build low-code data pipelines, and maintain platform reliability, documentation, and controls. The role requires enterprise marketing systems administration, data integration knowledge, spreadsheet expertise, stakeholder communication, and familiarity with APIs, webhooks, JavaScript or Python, big-data tools, and regulated industries.

Own the full B2B sales cycle for SME lending, from outbound prospect engagement through loan issuance and repeat funding. Build and manage a high-quality pipeline, understand business goals, structure financial solutions, pitch against competitors, maintain long-term borrower relationships, exceed monthly targets, and mentor junior colleagues. This phone-driven role is based in London with three office days per week.

Develop, optimize, deploy, and monitor statistical and machine learning models for commercial lending products. Analyze alternative data sources, experiment with model optimization frameworks, identify risks, and communicate technical findings as commercial insights. Collaborate with data engineers, analysts, and business stakeholders while using Python, SQL, and AI techniques to solve complex business problems and improve borrower products.

Own the full B2B sales cycle for SME lending, from outbound prospect engagement through loan issuance and repeat funding. Build and manage a high-quality pipeline, understand business needs, structure financial solutions, pitch against alternative lenders, maintain long-term borrower relationships, exceed monthly targets, and mentor junior colleagues.

Lead data modelling strategy and standards, design and implement data models (star schemas), build scalable transformations using SQL, dbt, Python/PySpark, mentor engineers, co-own backlog, and translate business needs into technical solutions including custom AI and automation.

Own and develop data products that improve Funding Circle’s data maturity and enable data-driven decision-making. Translate stakeholder needs into prioritized roadmaps, manage domain OKRs, collaborate with data and analytics engineers, and create valuable datasets and data solutions. Coach junior data product colleagues, align product engineering with analytics teams, and communicate technical delivery in terms of business outcomes.

Lead development and scaling of Funding Circle's React Native mobile app for iOS and Android. Implement business functionality, maintain build/release pipelines, write automated tests, QA features, participate in code reviews, mentor teammates, and collaborate within agile cross-functional teams to deliver excellent user experiences.

Lead and execute technology and integrated internal audits across cloud platforms, SDLC, operations and cyber controls. Scope risks, design and run test strategies (including data analytics), document findings, report to senior stakeholders, and drive remediation and closure while partnering with IA, risk and co-source partners.

Lead technical design and strategy for core internal platforms, drive adoption and roadmap, apply Generative AI to improve engineering processes, mentor engineers, troubleshoot and deliver scalable platform solutions while influencing stakeholders across the business.

Manage and coach an outbound sales team to meet individual and team targets. Set and track goals, run 1:1s, KPI reviews, call shadowing, and performance management. Drive continuous improvement, champion best practices and internal controls, report on team performance, and use approved AI tools to boost productivity.