Risk & Capital Data Analyst

As a Risk & Capital Data Analyst, your responsibilities will include collaborating with Risk and Finance leaders to develop strategic insights and intelligence roadmaps, supporting risk assessment and quantification, conducting data analyses for fraud detection, and financial modeling. You will also own risk reporting, maintain dashboards, and ensure compliance with relevant regulations.

Candidates for the Risk & Capital Data Analyst role should have at least 4 years of data analytics experience, preferably in risk and finance. Proficiency in tools such as SQL, Python, Excel, and advanced data visualization tools like Power BI or Tableau is essential. Experience with cloud data platforms like Snowflake or Redshift is also required.

The Risk & Capital Data Analyst contributes to business growth by delivering actionable insights through data analysis that influence decision-making. By identifying trends, risks, and opportunities, you will provide the business with the intelligence needed to navigate complex environments and optimize financial strategies.

Working as a Risk & Capital Data Analyst, you will enjoy a dynamic, hybrid working environment. This role is geared towards fostering personal growth and learning, allowing you the flexibility to manage your work-life balance while being a crucial part of a fast-growing company.

In the Risk & Capital Data Analyst position, you will work with various data tools and technologies, including SQL for data manipulation, Python or R for statistical modelling, and advanced visualization tools such as Power BI or Tableau for presenting insights. Cloud data platforms like Snowflake or Redshift will also be part of your toolkit.

In your answer, provide specific examples of your previous roles where you analyzed data, especially in the context of risk management. Highlight any statistical techniques or tools you used, and share how your findings positively impacted business decisions.

Discuss the methodologies you're familiar with for risk assessment. Mention techniques like qualitative assessments, risk modeling, or scenario analysis. Explain how you’ve successfully applied these methods in a past role to quantify and manage risks.

Explain your process for creating risk dashboards. Include steps such as defining key metrics, using visualization tools like Power BI or Tableau, and ensuring that the dashboard communicates complex data intuitively to stakeholders.

Share the techniques you find effective for exploratory data analysis, such as data cleaning, feature selection, and statistical tests. Discuss any specific projects where these techniques helped uncover meaningful insights.

Describe your understanding of relevant regulations in finance, and explain how you ensure compliance through relevant analysis, oversight, and adherence to industry standards in your analytical processes.

Emphasize the importance of clear communication. Describe your approach to breaking down complex data findings into simple, actionable insights using visual aids and relatable language to help drive informed decision-making.

Provide a specific scenario where your financial analysis directly contributed to a business decision. Highlight the tools you used, the data you analyzed, and the impact of your findings on the organization.

Discuss how you leverage statistical modelling to quantitatively assess risk scenarios. Share examples of specific models you’ve built or validated and how they informed strategic risk mitigation efforts.

Explain your approach to navigating complex datasets, including how you identify relevant data sources, manage data integration, and utilize analytical tools to extract meaningful insights efficiently.

Articulate the importance of a combination of analytical skills, attention to detail, and strong communication abilities. Share how these skills contribute to the successful execution of the Risk & Capital Data Analyst role.