Senior Model Risk Specialist

Join our small, dedicated team specialised in validation of models for financial crime prevention. If you are interested in modelling techniques, and you want to use your strong analytical skills to assess and improve complex models used for combatting financial crime then you may be our new colleague.

We are part of Model Risk Management in one of the largest financial institutions in Northern Europe. Here you will be joining a diverse community of highly skilled and experienced people with strong academic backgrounds. This is a group characterised by intellectual curiosity, knowledge sharing, and open discussions. Model Risk Management covers all models in Danske Bank Group, you will therefore have the unique opportunity to contribute to and gain broad insight into the many different business areas of a leading financial institution.

The team focuses on model risk management of financial crime prevention models e.g. customer risk rating and inflow classification for AML, transaction monitoring, sanctions screening, and fraud and market abuse detection using a variety of modelling techniques ranging from rule-based models to statistical models, text-matching algorithms and Machine Learning/AI models.

Work across the business
As part of the validation process of financial crime prevention models, you will research, analyse, and evaluate the conceptual soundness of the modelling technique, the applied mathematical methods considering the underlying theory or practice. You will also perform statistical/numerical test of model performance. You will assess the risk of applying the models in Dansk Banks financial crime prevention processes and draw the final conclusions.

Your team is responsible for presenting the conclusions, risk assessments, and recommendations to senior management in various risk committees and provide the basis for approval of use in the production of new and existing models.

You will work closely with model developers when mitigating the observations raised during your validation.

In our team you will have the unique opportunity to leverage and build further on your academic interest in modelling techniques or mathematical applications while supporting the effort of addressing financial crime and, having fun doing it.

If you can combine you strong analytical and communication skills with a cooperative working style, you are just the person we are looking for.

*Depending on your experience and knowledge, we may offer you different seniority levels of the role.

“We celebrate multiple approaches and points of view. We believe diversity drives innovation.”

You will:

• Be working in project teams responsible for conducting end-to end validation of models including review model design, challenge assumptions and test effectiveness and models performance
• Communicate your findings in well written validation reports
• Present outcome of validation orally or in writing to model developers, and senior management
• Engage in discussion with model owners of mitigating actions to observations found
• Work in collaboration with model developers, financial crime prevention experts, and other specialists
• Continuously develop your skills and competencies within financial crime, modelling methods and validation practices
• Share you knowledge, findings and insights with colleagues
• Assist Model Risk Management in other model areas and in effectively validating new modelling areas, such as machine learning and AI

About you:

• 3-4 years of experience working with model development or model validation
• Experience with financial crime prevention would be beneficial
• A MSc or PhD in econometrics, statistics, mathematics, finance, data science or physics with comprehensive analysis
• An analytical and goal-oriented mindset that enables you to identify and solve complex problems while keeping focus on the result
• Strong collaboration skills and a willingness to work in project teams
• Ability to build relationships across the bank with model developers and our partners in Financial Crime Compliance
• Solid stakeholder management and communication skills both when writing reports and verbally using advanced verbal and written English
• Hands-on experience with writing or assessing code e.g. Python or SQL is a clear benefit

We offer:
This position can be located both in Denmark and Lithuania.
If you are hired in Lithuania, the applicable salary range will be from 3280 to 4920 EUR monthly (based on your skills relevant for the job).
Additionally, each Danske Bank employee receives employee benefits package which includes:

• Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100 professions for internal mobility opportunities.
• Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
• Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.
• Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
• Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.

See all the benefits HERE.
"You have the opportunity to join a team where we are ambitious on creating value and support the effort to combat financial crime while having fun and learn doing it"

Your title in job contract will be Specialist – Risk, Senior.

Are you passionate about model applications in banking? Do you what to continue learning, have fun and help combating financial crime. Then come join us validating models for Financial Crime Preventions. Feel free to contact Michel Solovej, Head of Financial Crime Prevention Models Validation @LinkedIn if you have any question.

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Placering
Copenhagen V, Denmark

Arbejdsadresser
Bernstorffsgade 40 1577 København V