Risk Methodology Specialist - Berlin, Deutschland - Deutsche Bank

Deutsche Bank

Geprüftes Unternehmen

Berlin, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

**Details of the role and how it fits into the team

***:
Risk Methodology (RM) within Group Strategic Analytics in Risk develops and manages the risk valuation methodologies for Deutsche Bank. The models, methodologies and tools developed in RM are utilized by Risk Managers for the efficient resource allocation, managing the risk appetite and credit decisions in the day to day business process. In addition, RM ensures that the models fulfill the regulatory requirements with regard to regulatory and economic capital calculations.

Within RM, the Balance and Pre/Provision Net Revenue (BPPNR) model development team partners with the Treasury and Finance organizations to provide modeling and analytical problem solving for important regulatory and internal strategic initiatives - such as Capital Stress Testing, Risk in the Banking Book, and Strategic Planning.

The position is based in Berlin and you will work with colleagues in other risk teams locally in Berlin as well as with different Business Divisions and Control and Support Functions across the bank.

You will have the opportunity to gain a fundamental understanding of the Bank's risk and capital processes including model projection methodology across B/PPNR, credit risk, market risk, operational risk, and RWA as well as an enterprise-level perspective of CCAR, Interest Rate Risk, and Strategic Planning activities.

You will work in a leading central role within an evolving discipline and find an environment that encourages an open communication, provides a mature feedback culture and offers employees a wide range of options to balance the requirements of the workplace with their personal and family needs.

Your key responsibilities

Model development for B/PPNR estimation approaches: you will be responsible to design, calibrate an implement new B/PPNR estimation approaches under Base and Stress scenarios as well as ensure that existing approaches remain fit for purpose and related findings are remediated on time
Very complex analysis, evaluation & decisionmaking: you will lead the model development engagement with the lines of business and represent RM in model development activities with the model stakeholders; you will work with a wide variety of stakeholders from General Technology to Treasury, Finance, and Line of Business leadership
Data processing and Improvements, Collect very complex information and process it ready for decisionmaking: You will execute modelling work within the TMA modelling infrastructure, check feasibility of implementation approaches with Information Technology and Operations and identify the most viable option. You will propose advances in model design and data analysis and benchmark DB's approach against industry best practice and drive applicable improvements
Relationship management: You will build relationships in close interaction with DB leaders and senior executives, as well as senior members from the various lines of business, Treasury, Finance, Risk and Model Risk Management communicating effectively and regularly with Senior Management
Managerial Responsibility: You will transfer your specialist knowhow to more junior modeling teams as well as guide and assist them with the model development narrative, about how to communicate key modeling decisions as well as read their model development documentation and other written communications for quality control

Your skills and experiences

Relevant university degree (Master or PhD) in a quantitative discipline with a programming concentration (e.g., Economics, computer science, applied statistics / mathematics, engineering, operations research, etc.) necessary
At least five years of relevant professional experience in a coding and modeling discipline necessary
Very strong quantitative background, extensive analytical skills and ability to efficiently solve problems independently and proactively. Very strong quantitative skills, including experience in linear and/or nonlinear, generalized linear mixed models, PCS & Factor analysis, state space models, panel data analysis, well as very strong programming skills, including proficiency in R, Python or other programming languages, SQL and data visualization methods suitable for large amounts of data from inhomogeneous data sources
Wellorganized with a proven ability to solve problems with a strong sense of personal ownership and a focus on timelines when managing very complex model development projects across different locations independently
Strong relationship management skills including ability to collaborate with multiple business partners and colleagues to challenge the status quo, influence appropriately, and partner on developing solutions whilst executing against tight timelines
Excellent communication and presentation skills in English: be able to explain mathematical/ statistical concepts and results to various stakeholders

What we will offer you:
Please note that thi