Consultant advising clients on fraud prevention and risk assessment in financial services. Building technical solutions and enabling clients to utilize the software platform RiskShield.
About the role
- Model Risk Specialist developing automation suites for model monitoring at DLL. Collaborating with stakeholders and promoting Python literacy across the organization.
Responsibilities
- Design and implement automation suites to build an efficient codebase for model monitoring (data collection, data pre-processing, extending the Reference Dataset (RDS), developing the testing suite / reporting layer, etc)
- Interpret test outcomes and perform deep-dives when necessary.
- Respond to issues and questions raised by stakeholders
- Communicate the outcome of complex statistical tests to various technical and non-technical stakeholders.
- Continuous improvement of methodologies and policies that form the foundation of model monitoring within DLL.
- Promote Python literacy across the organisation through demos, workshops, and best practices.
Requirements
- Masters in a STEM subject, Data Science, Econometrics, or equivalent experience.
- 1-3 years of work experience in quantitative analysis in a relevant field.
- Excellent skills in Python and experience in version control, e.g. GitHub
- Statistical knowledge, specifically the knowledge of testing and interpreting model outcomes.
- Experience in the diagnosis of implementation issues, exploration, interpretation and issue resolution of interim and eventual model outcomes
- Ability to run discovery with stakeholders and translate business needs into technical deliverables with measurable outcomes
- Excellent written and verbal communication in English
- Knowledge of current and / or upcoming regulation (e.g. CRR3, EBA Guidelines (Review of Estimates), IFRS9, AI Act etc.)
Benefits
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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