Country Risk MO & Reporting Associate

Job Responsibilities:

• Support the collection and aggregation of information related to Country Risk globally perform variance analysis and provide detailed insights on major exposure and stress variances across financial products
• Represent Country Risk Middle Office at the quarterly review meetings with Country Risk Management
  • Conduct ad-hoc data collection and review of information for countries requiring increased scrutiny
  • Challenge existing processes to drive process improvement automation and innovation to enhance data aggregation reporting and control procedures
  • Build and maintain effective partnerships with Country Risk Management Market Risk & Credit Risk Management various Middle Office teams Controllers Finance Technology and other Risk Reporting teams
  • Perform data quality checks with a control mindset to proactively identify resolve issues and influence change to improve reporting processes & controls.
  • Oversee processes and support the team in operating effectively efficiently and on time to meet all service level agreements (SLAs)

Required Qualifications capabilities and skills:

• Minimum 4 years experience in Market Risk Credit Risk Product Control or Financial Reporting
• Bachelors degree in mathematics accounting finance or a business-related field
• Knowledge of financial products across a range of asset classes Credit Rates FX Equities commodities and others
• Strong analytical organizational skills and keen attention to details
• Ability to multitask work independently and make continuous progress towards meeting business objectives
• Proficiency in Microsoft Office applications especially Excel Outlook Word and PowerPoint
• Strong written and verbal communication skills with the ability to summarize information and present to senior management clearly and confidently
• Strong team player who can work well with colleagues of various levels and across regions

Preferred qualifications capabilities and skills

• Knowledge of data science (e.g. Machine learning) data analytics platforms (e.g. Alteryx) data visualization tools (e.g. Tableau) and programming languages (e.g. Python).