Analytical Skills:you can understand complex mathematical models and statistical analyses, as well as identify potential risks and inefficiencies. You have a background in quantitative fields such as statistics, mathematics, or quantitative finance. Knowledge of tools and techniques used in quantitative modelling. Comfortable coding or reading model written in Python and SQL. You like building dashboards and gaining insights from data
Risk Management Expertise: You have experience of working with various types of risk, including operational, financial, and market risk, and be familiar with regulatory requirements related to risk management.
Communication Skills:You can communicate complex concepts and risk assessments to stakeholders and top-level management.
Knowledge of Financial Models:You are familiar with the types of financial models used in the company and industry at large.
Data Platforms and Data Teams:You are familiar with a modern Data Platform and the related engineering, analytical, design and architectural skills involved with meeting the needs of a data-driven business
Attention to Detail:With risk management, small details can have a significant impact. So having an eye for detail and ensuring all aspects of a model are scrutinised is a vital skill.
Strategic Thinking:You can think strategically about how Ebury’s business is exposed to model risks and what preventative measures can be taken whilst balancing what is feasible for teams that work in a fast-paced environment and are often already stretched.
Regulatory Knowledge:You have a good understanding of industry regulations and standards related to risk management.
Certified Risk Manager:Certifications like FRM (Financial Risk Manager), PRM (Professional Risk Manager), or CRM (Certified Risk Manager) could be beneficial.