Job Description

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
• Bachelor’s 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).