Business Unit Overview
Risk Infrastructure is responsible for the overall governance and support of the firm s Financial Risk platform. This includes activities like Input Data Management and Control, Exposure Metric Validation, Data Integrity & consistency, Counterparty Exposure validation and Capital Assurance, Risk Limit Management and Risk Reporting. In addition they assist Risk Managers (RM) in resolving data issues where necessary and take corrective actions. RI also drives data management strategy for Risk and helps develop data architectures that are flexible and scalable to meet new regulatory requirements.
The team ensures relationships between range of reference data, Trade attributes, instrument and transaction data are not broken. Whilst input data is validated; reported data is reconciled.
Drives data management strategy for Risk and helps develop data architectures
Provide adhoc risk views and drill down analysis of less transparent risks and issues of
Importance to senior Risk Management/Trading Heads
The candidate must have a strong background in visual data delivery; interactive design and SQL with a passion for re imagine/ design. In addition, the candidate will be responsible for planning, designing, coordinating and developing highly interactive dashboards, reports with builtin guided analytics for various lines of business
Position Specifications:
Corporate Title
Analyst
Functional title
Analyst/Sr. Analyst
Experience
23 yrs
Qualification
BE/B.Tech/ Masters/ MBA in Finance
IT Skills
SQL, Python, Alteryx
Role & Responsibilities:
This is a business plus technical role. Roles and responsibilities are defined below
Job Title:
Risk Data Management & Control Associate Key Responsibilities
- Data Management & Quality
- Design and implement data quality frameworks and controls for credit risk data
- Monitor data quality metrics and create regular reports on data integrity
- Manage data quality issue resolution and manage escalation processes
- Develop and maintain data quality dashboards
- Partner with risk teams to understand data requirements
- Support risk reporting and analysis needs
- Ensure compliance with regulatory data requirements
- Maintain data governance standards for risk information
- Basic to intermediary knowledge of SQL, Python
Create and Modify Python scripts for complex data transformations and joins
- 2 to 3 years experience in data management, preferably in financial services
- Strong understanding of risk concepts and metrics
- Experience with ETL processes and data quality management
- Knowledge of data governance principles
- Strong problemsolving and analytical skills
- Strong communication abilities to work with stakeholders
- Understanding of credit risk principles
- Problemsolving and analytical thinking
- Project management capabilities
- Ability to translate business requirements into technical solutions
- Knowledge of Basel regulations
Understanding of BCBS 239 principles
Technical
- Basic SQL & Python Knowledge. To be able to run or Modify SQL/Python queries
- Experience in stakeholder management
- Previous experience in financial services industry
- Knowledge of regulatory reporting requirements
