Credit Risk Analyst - SME (m/f/d)

infinnity financial technologies GmbH; City Of London; Hybrid; GBP 55,000 - 70,000; Full time

Job summary

A leading fintech company in London seeks a Credit Risk Analyst to build and optimize credit strategies for SMEs. The ideal candidate has 3-5 years of experience in risk modelling, strong data analysis skills in SQL and Python, and a good understanding of credit risk. Join a dynamic team and work in a hybrid environment.

Benefits

Attractive remuneration

Company card for lunches and coffee

Flexibility in remote work

Qualifications

• 3-5 years of experience in risk modelling or quantitative analytics.
• Good understanding of unsecured SME exposures and credit risk strategies.
• Experience working with APIs and decision engines.

Responsibilities

• Design and calibrate automated credit risk strategies.
• Analyze portfolio performance and identify risk drivers.
• Build E2E data pipelines and enhance operational processes.

Skills

Credit risk strategies

Data analysis

SQL

Python

Risk modelling

Education

Degree in a quantitative or engineering discipline

Tools

Statistical modeling software

Job description

ABOUT US

Pliant is a European fintech specializing in B2B payment solutions. Our modular, API-first platform helps businesses streamline spending, improve cash flow, and integrate payments into their financial workflows. Designed for industries with complex payment needs, such as travel and fleet, Pliant enables greater efficiency, control, and profitability.

• Companies looking to optimize operational processes through intuitive apps and APIs, gaining control, automation, and financial flexibility through extended credit lines.
• Businesses such as financial software platforms, ERP providers, and banks that want to launch or enhance their credit card offerings using Pliant's embedded finance and white-label solutions.

Founded in 2020 and headquartered in Berlin, Pliant supports over 4,000 businesses and more than 20 partners globally. As a licensed e‑money institution (EMI), we issue Visa‑powered credit cards in 11 currencies across more than 30 countries, helping companies streamline and simplify payments.

Learn more at www.getpliant.com

ABOUT THE ROLE

As Credit Risk Analyst – SME (d/f/m), you will be responsible for building and optimizing automated credit strategies for small and medium‑sized enterprises (SME). While a strong foundation in credit risk is essential, you’ll bring hands‑on coding expertise to directly work with data pipelines, API integrations, decision engines, with the option to branch into model building (PD, LGD, EAD, EL).

You drive initiatives to achieve project targets. You deliver efficiency improvement to the teams. You continuously support the evolution of our tech stack towards automated decision making. You foster data‑driven decision making. You align credit risk strategies with business goals. If that is you, then join us and work closely with the Director for Credit Risk Management and the VP of Credit. This position sits directly in the functional domain with exposure to business and responsibility for the common achievement of goals.

This role will be based in London (hybrid).

WHAT YOU'LL DO

• Credit strategy: Design, develop, test and calibrate automated credit risk strategies and continuously improve them based on empirical tests. Implement monitoring processes. Design and build early warning systems.
• Loss models: At a later stage, build PD, LGD, EAD, EL models.
• Portfolio: Analyze portfolio performance, identify risk drivers and mitigation strategies based on empirical data or feature engineering.
• Efficiency: Build dashboard for insights. Measure and monitor process efficiency, identify bottlenecks and blockers in workflows and resolve them together with the team.
• Process automation: Continuously review and enhance operational processes to reduce handling times while keeping quality within agreed parameters. Build E2E data pipelines using SQL, Python and decision engines.
• Collaboration: Partner with Risk Management, Data and Engineering teams to build E2E data processes together. Manage cross‑functional projects.
• Communication: Facilitate smooth and fact‑based information flow between your colleagues. Support data‑driven decision making within the credit risk domain. Support the development of a culture of open dialogue, which is focused on mutual respect and the joint achievement of excellent results.

WHAT YOU'LL BRING

• Degree in a quantitative or engineering discipline or related field.
• 3‑5 years of experience in risk modelling, quantitative analytics, financial engineering or similar domain.
• Good understanding of credit risk strategies for unsecured SME exposures; familiarity with open banking data and transaction‑level insights is a plus.
• Strong data analysis and engineering capabilities, SQL and Python is essential. Command of statistical modeling software is a plus.
• Experience in working with APIs, decision engines, as well as data aggregation and orchestration services is a strong plus.
• Experienced in agile development, and ability to own and drive cross‑functional projects.
• Determination and desire to work in a team to achieve high‑quality results for our customers, even under stress.
• Fluent in English; additional European languages are a plus.

WHAT WE OFFER

>The opportunity to work in a growing team with big responsibilities that thrives on a strong exchange of knowledge and excellence
• Attractive remuneration
• Flat hierarchy and transparent communication in a relaxed, professional atmosphere
• Opportunity to develop your talent in a dynamic team with ambitious goals
• Flexibility and possibility to work remotely
• Company card with a monthly allowance for lunches, coffee, etc. with co‑workers

At Pliant, we believe diversity and inclusion are essential to building not only an innovative product but also an exceptional experience for both our customers and our team. This commitment begins with our hiring process‑we welcome individuals of all racial and ethnic backgrounds, religions, national origins, gender identities or expressions, sexual orientations, ages, marital statuses, and abilities. If you require accommodations or accessibility support during the interview process, please let us know in your application so we can make sure your experience is seamless.