Risk Modelling and Analytics
vor 1 Tag
**Risk Model & Analytics Specialist**
Experis is the global leader in professional resourcing and project-based workforce solutions.
**Overview of contract**
On behalf of our client, a leading financial services institution in Zürich, we are looking for a Risk Model & Analytics Specialist within a global Financial Crime function. You'll work as a gatekeeper in preventing money laundering, terrorism financing, sanctions, and corruption risks for the bank. Your role is to perform group level risk assessments, evaluate money laundering risks linked to countries, and carry out systematic data analytics exercises on a client level.
This is a 6-month contract based in Zurich
**Main responsibilities**
- Work on Client Risk Rating (CRR) model development, calibration, analysis and prototyping
- Prepare models for the model validation
- Review model parameters and thresholds with relevant stakeholders to ensure proper risk modelling
- Run a change management process / change board from methodology perspective that ensures transparency on and appropriate prioritization of change requests
- Engage with a global community of stakeholders in Financial Crime and Business units
**Your skills**:
- Master's degree (MS or MA) in: Economics, risk management, applied mathematics, statistics, physics, engineering or statistics
- Understanding of programming languages, in particular R and Python. Knowledge of SQL. Technical expertise and proficiency in R is a plus
- Experience in Financial Crime risk management, audit or compliance is a plus
- Understanding of Due Diligence processes, risk factors, and relevant regulatory requirements
- Knowledge of model risk and model validation is a plus
- Good record keeping and report drafting skills
- Knowledge of statistics is a plus
If you are interested in this opportunity, we look forward to receiving your CV or if you have any questions, contact on
+41 44 229 99 45
Take the next step and send us your CV and contact phone number on which we can reach you during working hours.
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