Operational Risk Analyst

As an Operational Risk Analyst at SHIELD, your primary responsibility will be to monitor risk indicators across large datasets and address any risk-related escalations promptly. You will also support investigations into any anomalies in client metrics, manage programs aimed at reducing overall platform risk, and collaborate with stakeholders to ensure effective documentation of policies.

To qualify for the Operational Risk Analyst position at SHIELD, you should have 1 to 3 years of relevant experience in risk analysis, along with a Bachelor's Degree in fields such as Business Administration, Statistics, or Mathematics. Strong communication skills and proficiency in business intelligence tools like Microsoft Excel are also required.

As an Operational Risk Analyst at SHIELD, you will contribute to enabling trust by optimizing fraud detection processes and providing actionable insights that help clients mitigate risks. Your efforts in monitoring fraud trends and collaborating with process owners will ensure that our clients continue to feel secure in their transactions.

Essential skills for an Operational Risk Analyst at SHIELD encompass strong analytical abilities, meticulous attention to detail, excellent time management, and strong communication skills. The ability to take initiative in a dynamic environment is critical for preemptively addressing risks of fraud.

As an Operational Risk Analyst at SHIELD, you'll primarily use business intelligence tools like Microsoft Excel to analyze data, monitor metrics, and report on potential risks. Familiarity with analytics software will also be beneficial to your role in examining trends and making proposals for improvements.

In identifying potential fraud risks, I utilize analytical tools and methodologies to sift through large datasets, looking for unusual patterns or anomalies. I rely on key metrics and historical data benchmarks to ascertain what constitutes 'normal' behavior, ensuring that I can promptly flag any red flags.

In my previous role, I noticed a sudden spike in transaction declines for a major client. By conducting a thorough analysis of client metrics, I identified a misconfigured parameter that was inadvertently blocking legitimate transactions. Addressing this risk promptly not only restored the client’s service but also improved their trust in our platform.

I am well-versed in tools like Microsoft Excel and Tableau, which I've used for data analysis, visualization, and reporting. For instance, using Excel, I've created dashboards that track key performance indicators and alert stakeholders to emerging fraudulent patterns.

I prioritize tasks based on the severity and potential impact of the risk involved. I follow a structured approach, categorizing alerts by urgency, and addressing the most critical ones first, while also keeping track of follow-ups for less urgent but still important tasks.

Effective communication is essential during a risk escalation. I would ensure that stakeholders are updated promptly with clear and concise information regarding the risk, potential impacts, and proactive recommendations. I also facilitate open dialogues to address any concerns and gather additional insights.

The biggest challenge is the rapid evolution of fraud tactics. With fraudsters continually adapting, it's critical for Operational Risk Analysts to remain agile and informed about emerging trends and technologies that facilitate fraud detection and prevention.

At my last job, I noticed that our risk reporting process was overly manual and time-consuming. I proposed and implemented a semi-automated system using macros in Excel, which reduced the report generation time by 50% while enhancing accuracy and consistency.

I ensure that documentation is thorough and accessible by following a standardized format. I usually include key processes, responsible parties, and any controls in place, periodically reviewing and updating them to reflect any changes or improvements.

A great Operational Risk Analyst combines strong analytical skills with effective communication and problem-solving capabilities. They should not only excel in analyzing data but also be proficient in conveying findings and recommendations in a way that resonates with both technical and non-technical stakeholders.

I actively engage with industry publications, attend workshops, and participate in relevant webinars. Networking with other professionals in the field also provides me with insights into emerging trends and innovative practices in fraud detection and risk management.