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Country Risk MO & Reporting - Associate
mid · Corporate Finance
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).