Job
Description
:
Job Title NFR Modelling, AVP
Location Mumbai, India
Role Description
The Risk division is responsible throughout the Group for management and control of all credit, market and non-financial risks, and the function of the Risk division consists in managing, reinforcing and protecting the Banks capital, integrity and reputation by making a solid structure and supportive infrastructure available.One important priority for Group Strategic Analytics (GSA) is the responsibility to determine the regulatory and economic capital for operational risks. In addition, NFRM supports Management risk decisions by preparing analysis and reports, validates the approaches and methods used in the GSA division (in quantitative and qualitative terms) and verifies business inputs by carrying out quality assurance.Within
GSA , the
Delivery team is responsible for the AMA Operational Risk (OR) capital calculation and underlying processes for the whole of Deutsche Bank Group. In addition, the team is involved in various related activities incl. OR stress testing and OR capital & Regulatory reporting.
What well offer you
100% reimbursement under child care assistance benefit (gender neutral)Sponsorship for Industry relevant certifications and educationAccident and Term life Insurance
Your key responsibilities
Ongoing model maintenance and further developmentIndependent processing and completion of optimization tasks through intensive programming activity, preferably with PythonIndependently drive process automation with the aim of increasing the effectiveness of the process organizationRegular performance of data quality checks and documentation of data origin and data flowsProactively and closely collaborate with cross-departmental teams, from subject matter experts to other model developers and IT expertsClose coordination with the leaders of model execution and transformation and provision of status reportsAttend regularly scheduled meetings and telephone conferences, e.g. presentations of results to decision-makers/work groups, occasional administration of meetings and telephone conferences (agenda, minute keeping)Exchange specialist information with colleaguesProvide support with urgent activities and Ad-hoc requests at short noticeCooperate with enquiries from auditors and regulators
Your skills and experience
A suitable candidate should be proficient in the following core competencies:University degree in relevant areas of information technology, computer science, natural or engineering sciences or economics+6 years of experience in Python programming language, including experience with Python frameworks and libraries (Pandas, NumPy) commonly used for development and data analysis, further programming skills desirable as well as familiarity with tools such as SQL and TableauProven experience in process automation techniquesStrong foundations in data analysis and analyticsSeveral years of professional experience in data preparation, analysis and visualizationStrong analytical skills and the ability to solve problems independently and efficiently, as well as being part of a large teamExcellent communication skills with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholdersPositive attitude and team orientationAn eye for detail and an affinity for numbers and dataProblem-solving orientation yet stress-resistant with the ability to adapt to changing prioritiesEnjoyment of working in an international and diverse environmentPassion for organizational, functional and technical change tasks, as well as enjoyment of Python programming
How well support you
About us and our teams
Please visit our company website for further information:https://www.db.com/company/company.htm
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.We welcome applications from all people and promote a positive, fair and inclusive work environment.