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The role involves conducting business and functional analysis for credit risk change initiatives, including process design and data investigation. You will also leverage AI solutions to automate manual processes and analyze large datasets to solve complex business problems.
The ideal candidate should have strong business and functional analysis skills with knowledge of credit risk workflows and data. Proficiency in SQL and Excel is required, while experience with Python and AI tools is considered an advantage.
Job Title: Data/Business Analyst, Credit Risk Change
You will be joining the Design & Analysis team within Credit Risk Change. The team has subject matter experts, business architects, business analysts and data analysts working together on strategic and regulatory change initiatives for the global Credit Risk Management function, part of CRO.
The role is required to work as a business/data analyst on business process and controls, data analysis and functional analysis across credit processes, operating model, workflows, core credit data, reference data, analytics, reporting.
With the acceleration of AI technology, the team are also responsible for designing AI solutions to solve complex business problems, analyze large datasets and automate manual processes.
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,
Best in class leave policy.
Gender neutral parental leaves
100% reimbursement under childcare assistance benefit (gender neutral)
Sponsorship for Industry relevant certifications and education
Employee Assistance Program for you and your family members
Comprehensive Hospitalization Insurance for you and your dependents
Accident and Term life Insurance
Complementary Health screening for 35 yrs. and above
Business and functional analysis including:
Management of complex analysis in line with the assigned tasks
Process analysis and design for core credit processes and controls.
Data analysis: investigation of data in core credit systems and in source systems, analysis of data issues, root cause analysis, definition of data requirements both business and functional, ensuring alignment with bank data standards.
Knowledge of credit risk in terms of credit workflows for ratings, limit setting, reporting and distressed processes (advantage).
Knowledge of credit relevant data including: exposure, limits, ratings, risk mitigants, risk metrics, hierarchies, party reference data
Good understanding of data processes and controls
Strong business and functional analysis skills
Strong Excel and/or Access skills for analysis of data sets
Use of SQL (important) and Python (advantage)
Experience with Confluence and JIRA
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
Training and development to help you excel in your career.
Coaching and support from experts in your team.
A culture of continuous learning to aid progression.
A range of flexible benefits that you can tailor to suit your needs.
Please visit our company website for further information:
https://www.db.com/company/company.html
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.
We are your first point of contact in all financial matters - at home and abroad. Your Global Hausbank.
Deutsche Bank is the leading German bank with strong European roots and a global network. The bank focuses on its strengths in a Corporate Bank newly created in 2019, a leading Private Bank, a focused investment bank and in asset management. We provide financial services to companies, governments, institutional investors, small and medium-sized businesses and private individuals. Deutsche Bank was founded in 1870 to accompany German businesses into the world, and has worked across borders ever since. Useful links: Jobs https://www.db.com/careers. Netiquette at https://www.db.com/netiquette. Data protection policy https://www.db.com/DataProtection. Imprint https://www.db.com/imprint.
Offices: Taunusanlage 12, Frankfurt am Main, Hessen 60325, DE · One Raffles Quay, 13-00 South Tower, Singapore, 048583, SG · 1 Columbus Circle, Deutsche Bank Center, New York, 10019, US · 1 Appold Street, Broadgate, London, EC2A 2HE, GB · Paseo de la Castellana, 18, Madrid, 28046, ES
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