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DWS Group GmbH & Co. KGaA (DWS) is one of the world's leading asset managers with EUR 704bn of assets under management (as of 31 Dec 2019). Building on more than 60 years of experience and a reputation for excellence in Germany and across Europe, DWS has come to be recognized by clients globally as a trusted source for integrated investment solutions, stability and innovation across a full spectrum of investment disciplines. DWS Capital & Liquidity Management is responsible for the management and optimization of capital, funding and liquidity in DWS entities as well as the DWS subgroup, based on a clear and transparent framework. DWS Capital & Liquidity Management identifies and plans financial resource demands, and ensures support for the strategic targets of DWS. It manages related risks (e.g. liquidity risk) and safeguards adherence to relevant regulatory ratios/ requirements. To fulfil its mandate, DWS Capital & Liquidity Management closely aligns with the business, co-operates with relevant functions such as Finance, Risk, DB Group Treasury, and interfaces with external stakeholders such as banks and regulators.
About the Job
The Model Developer develops, improves and maintains internal economic capital models for market, credit, operational or strategic risks and supports the ICAAP by ensuring adequate capital quantification methods resulting from the DWS business model. The Model Developer contributes to the insourcing of model development services and to strategic transformation initiatives as well as regulatory projects.
Developing internal economic capital models tailored to the DWS business model
Maintaining models including regular parameter recalibration and finding remediation
Programming prototypes of new models and support of strategic IT implementations
Applying data analysis and statistical methods to complex data sets
Defining and maintaining model development standards in line with regulatory and internal requirements, e.g. SR11-07 standards for Model Risk Management
Building relationships with internal and external stakeholders
Relevant university degree in a quantitative discipline (e.g. Mathematics / Statistics / Econometrics / Quantitative Finance / Physics)
Professional experience in developing complex mathematical and statistical models
In-depth knowledge of programming languages and statistical software packages (e.g. Python, Matlab, or R)
Used to solve problems independently and result-oriented
Familiarity with asset management industry and products or risk modelling within ICAAP (Internal Capital Adequacy Assessment) / Pillar 2 frameworks will be considered an advantage
Excellent written and verbal communication and presentation skills in English, German is a plus