We are AMS, a global total workforce solutions firm enabling organisations to thrive in an age of constant change by building, re-shaping, and optimising workforces. Our Contingent Workforce Solutions (CWS) service acts as an extension of our clients' recruitment team and provides professional interim solutions and temporary resources.
Our client, Deutsche Bank, is a global banking business with strong roots in Germany and operations in over 70 countries. Their large but focused footprint gives them an established position in Europe plus a significant presence in the Americas and Asia Pacific. Deutsche Bank offer their clients commercial and investment banking, retail banking and transaction banking as well as ground-breaking asset and wealth management products and services.
On behalf of Deutsche Bank, AMS are now looking for a Credit Risk Data Analyst to work in their Credit Change team based in London on a PAYE basis.
The role is required to be part of a team responsible for data analysis, data process design, quality management and remediation of data used in credit risk model development and calibration. Key credit risk models include PD, LGD and CCF; and the use of data reference data, transaction data, default recoveries, collateral/guarantee data, credit limit data and party data.
Key responsibilities:
- Data source analysis, defining specifications for sourcing, storage and use of data from multiple sources for a consolidated Reference Data Set (used for model development)
- Defining and building data quality controls and validation processes
- Analysis of data gaps identified during model development; investigation of data available in source systems to determine if it is suitable for model requirements.
- Analysis of data quality issues identified during model development; root cause analysis, identify remediation action and execute to clean historical data sets.
- Data reconstruction and reconciliation of exposure balances to cashflow moves; for default timeseries data
- Data quality analysis on cashflows and risk drivers.
- Investigation and review of credit and legal documentation to source additional data.
- Running working groups and analysis meetings, coordinating the activities.
- Ensure work is documented to show traceability and evidence (of changes, additions, deletions to data) is maintained to audit standards.
Skills and Qualifications:
- Knowledge of credit risk in terms of exposure, limits, risk mitigants and risk metrics.
- Strong Python Experience
- Good understanding of data processes and controls from a Risk, Finance, Treasury or Operations function.
- Strong data analysis background, with good understanding of:
- Counterparty data
- Reference data
- Product data attributes
- Collateral/guarantees
- Exposures and cashflows
About the client
Deutsche Bank's Values:
Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs, and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
Please note that for the duration of this assignment you will be working as an external resource engaged by AMS based on site at Deutsche Bank.
AMS's payroll service is in partnership with Giant, we have worked with them for many years and have good processes in place to ensure you get the best service. If you are successful in your application for this role, your contract will be via Giant.
