Junior Model Validator

Your role

We may be part of a large banking Group, but we’re a tight-knit bank with a focused but expanding business model and a dynamic team. For our Model Risk Management and Model Validation team, we are looking for a Junior Model Validator to boost our capabilities.

A Day in the Life of a Junior Model Validator

09:00 – Coffee & Code
You start your day with a strong coffee and a fresh dataset. Today’s mission: validate a new credit risk model. You fire up Python and SQL, ready to challenge assumptions and test performance.

10:30 – Model Sleuthing
You spot something odd in the preprocessing logic. A quick call with the model developer turns into a collaborative debugging session. You tweak, test, and improve the model together.

12:00 – Reporting with Purpose
You write a clear, structured validation report—highlighting strengths, flagging risks, and suggesting improvements. Your insights will help guide key decisions.

14:00 – Framework & Feedback
You review the Model Risk Framework and suggest a few updates. Your ideas are welcomed—everyone contributes to making things better.

15:30 – Automation Time
You and a teammate build a script to automate model testing. It’s a small win that saves hours down the line.

16:30 – Present & Impress
You present your findings to the Model Risk Committee. Your clear explanations and risk-based insights earn nods of approval.

17:00 – Done & Dusted
You wrap up, feeling proud. You’ve made models safer, smarter, and more transparent—just another day in the life of a Model Validator.

Which team will you be joining?

Model Risk Management and Model Validation team is responsible for:

• Independent Validation of the models;
• Maintenance of the Model Risk Management Framework and Model Validation Framework;
• Oversight of the process of Model (Risk) Management across the Bank;
• Model Risk Management and Reporting.

The Bank develops its uses a wide range of internally and externally developed models in its various processes including Credit Risk, Market and Liquidity Risk, Underwriting and Pricing, Fraud Detection, Stress Testing and Economic Capital.

In order to manage the risk stemming from reliance on those models, we’re dependent on knowledgeable and motivated people like you, who:

• Build relationships within the team in order to effectively perform the validation work and foster cooperation;
• Connect with Model Owners, Model Developers and Model Implementers, with the goal of effectively challenging the processes of model development, implementation and usage;
• Rely on their strong statistical background, combine it with the understanding of how Banks work, do their numbers and summarise them into concise and risk-based reports;

Deliver actionable information to the management, enabling well-informed decisions with a positive impact on the Bank.

Your accountabilities

• Technical Validation of all aspects of risk models, including new developments, model changes and periodic validations
• Challenging data processing, statistical and business soundness of the model and model performance
• Deep-dive analyses of root causes of identified issues and assessing their impact on the model, its usability, and uncertainty
• Development of challenger models
• Clear, precise and structured reporting of the validation results
• Providing user feedback to improve the Model Risk Management and Model Validation Framework
• Participating in improvement initiatives such as automation of model testing and reporting
• Presentation of validation results to the Model Risk Committee
• Maintaining knowledge of Model Risk and regulatory requirements and standards

You recognize yourself in this profile

Skills and Capabilities

• Highly analytical approach to problem solving
• Ability to assimilate complex mathematical information into actionable insights
• Hands-on mentality, proactive attitude and curiosity
• Attention to detail
• Ability to prioritise
• Excellent English communication skills, both verbal and in writing

Qualifications

University degree in a relevant subject (econometrics, statistics, quantitative finance, actuarial science, or similar)

Experience and Knowledge

• First experience in model development or validation in a financial institution, ideally in the corporate/non-retail domain
• Solid knowledge of probability, statistics, hypothesis testing, statistical modelling, modelling assumptions, machine learning, model performance testing
• Programming skills in SQL/SAS/Python or similar languages

Some highlights of our benefits for you!

• 13th month salary, either paid monthly or once a year in December
• 30 days PTO (or 240 hours) per year (based on fulltime employment)
• Non-contributory pension scheme
• Flexible working; you can schedule your work hours to meet your personal needs

About Lloyds Bank

Lloyds Bank GmbH is part of Lloyds Banking Group, a financial institution with a large clientele in the UK and other parts of the world. Together with our office in Berlin, we form Lloyds Bank GmbH with its headquarters in Amsterdam and we have over 500 colleagues.

We aim to lead by example in the bold decisions we make as a business, from where and how we invest, to the products and services we offer, and of course the workplace we create. We will search for new ways to work with people, communities and businesses, to always evolve with their needs. And we will never stop innovating to make sustainable, ethical choices easy and rewarding.

At Lloyds Bank GmbH we play an important part in peoples’ lives, by the products we offer, and also how we operate. We finance your mortgage, keep your savings secure and also provide you with a personal loan if you need this. In Amsterdam we do this with an enthusiastic team of approximately 200 colleagues from different nationalities, and with an engagement score of 93%, colleagues find us a real ‘Great Place to Work’!

With our grand ambitions, we are looking for new colleagues who will bring fresh ideas to help us grow!