Model Validation Consultant

Junior Model Risk Specialist / Model Validator

As aJunior Model Risk Specialist / Model Validatoryou will strengthen the model risk management framework and help bring model validation and model governance within DLL to a higher level. You will contribute to the continuous improvement of policies standards and controls throughout the model lifecycle and collaborate closely with model development validation and other stakeholders. Do you think you have the skills to identify and effectively manage model risk Then we have a great opportunity for you!

Find out morehereabout how you can unleash your full potential at DLL

Day to day:

• Support the enhancement and maintenance of the Model Risk Management Framework (MRMF) in line with internal governance and regulatory expectations (e.g. ECB EBA SR11-7 AI Act)
• Perform independent validations of Compliance and AI models in line with regulatory requirements and DLLs model validation standards
• Execution of the periodic model review and monitoring of model risk throughout the model life cycle
• Managing the balance between quality of validation efficiency and effectiveness of the model governance processes while considering and aligning with stakeholders across different domains
• Maintain the Model Inventory by ensuring completeness accuracy and timely updates for models throughout the model lifecycle
• Support the secretarial activities of the Model Risk Committee (MRC) including managing timely submissions documenting meeting outcomes and capturing key decisions and action plans

All members enjoy

• Two working days per year volunteering for a local charity.
• Health and Wellness program including healthy food free health checks fun health & vitality activities.
• Flexible hours with possibility to work from home
• Career development opportunities: online learning member development programs.
• Click thislinkfor an overview of all the benefits in your region.

We lead the way in meeting the need for flexibility and transparency which our customers increasingly expect

Essentials:

• A Bachelor/Master degree in Econometrics Actuarial Science Statistics Mathematics Data Science or another quantitative discipline
• 2-4 years of work experience in modelling validation and/or model risk management
• Experience with assessing and managing model risk across the model lifecycle. Experience with model governance is considered a plus
• Experience performing quantitative analyses using Python or R and SQL; experience with cloud platforms (Azure/Databricks) is a plus
• Excellent communication writing and reporting skills in English
• Ability to work independently while collaborating effectively with different stakeholders

Choose wellbeing

DLLs wellbeing ambition is to educate equip and empower members to build connections manage their mental emotional physical and financial wellness and maintain balance between work and the other priorities that make up their lives.

Our four wellbeing categories are as follows:

• Connection Build meaningful connections with other DLL members
• Health Manage mental emotional and physical health
• Finance Provide learning opportunities to help members achieve personal financial health
• Lifestyle Maintain balance between work and life priorities

These are the things that matter to our members and the wellbeing of our members matters to DLL

Good to know:

• Deadline for application: May 24th (Due to high volume of applications this requisition may close prior to posted close date)
• The selection process may involve an assessment.
• Applications via email will not be reviewed. Please apply online via our career website.
• DLLs referral program applies
• #LI-BEN
• For more information please contact our Talent acquisition partner Ben Sumbler via

DLL appreciates the time you spend applying to our openings. We advise only those who qualify for an interview will be contacted. Hiring subject to successful completion of a background check.

DLL is an equal opportunity employer. We are committed to inclusive barrier-free recruitment and selection processes and work environments. If contacted for an employment opportunity please advise Human Resources if you require accommodation in accordance with our values and all applicable legislation.