Credit Risk Data Modeler
2 weeks ago
Credit Risk Data Modeler (Cashflow,Python) – Bank – London
Day rate: £600 - £800 (inside IR35)
Duration: 6 – 12 months
Start: ASAP
Hybrid: 3 days on site
My new client is looking for a Credit Risk Modeler with strong hands on programming experience. 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.
Your key responsibilities:
Core Responsibilities / Tasks:
• Data Analysis & Data Remediation
o 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)
o Defining and building data quality controls and validation processes
o Analysis of data gaps identified during model development; investigation of data available in source systems to determine if it is suitable for model requirements.
o Analysis of data quality issues identified during model development; root cause analysis, identify remediation action and execute to clean historical data sets.
o Data reconstruction and reconciliation of exposure balances to cashflow moves; for default timeseries data
o Data quality analysis on cashflows and risk drivers.
o Investigation and review of credit and legal documentation to source additional data.
o Running working groups and analysis meetings, coordinating the activities.
o Ensure work is documented to show traceability and evidence (of changes, additions, deletions to data) is maintained to audit standards.
Knowledge, skills and experience:
• Knowledge of credit risk in terms of exposure, limits, risk mitigants and risk metrics.
• Good understanding of banking and trading products.
• Good understanding of data processes and controls from a Risk, Finance, Treasury or Operations function.
• Strong data analysis background, with good understanding of:
o Counterparty data
o Reference data
o Product data attributes
o Collateral/guarantees
o Exposures and cashflows
• Structured data analysis experience.
• Strong Excel skills for analysis of data sets.
• Use of SQL and Python
Education:
• 7+ years of relevant professional experience in
o Financial Markets role preferably in Risk, Finance, Treasury or Operations function
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