Willis Towers Watson Intrview Questions and Answers

Accounting & Consulting Application Specialists


Willis Towers Watson (WTW) is a leading global advisory, broking, and solutions company. Formed in 2016 through the merger of Willis Group and Towers Watson, the company has roots dating back to 1828. WTW operates in over 140 countries with approximately 45,000 employees. The firm specializes in risk management, insurance brokerage, human capital consulting, and benefits delivery and administration. WTW is known for its expertise in areas such as actuarial services, investment consulting, and talent management, serving a wide range of industries including healthcare, energy, and financial services.

Willis Towers Watson Admissions Statistics

While WTW doesn’t publicly disclose specific acceptance rates for its graduate schemes, industry estimates suggest it’s around 5%, indicating a competitive selection process for entry-level positions across its various business segments.

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Willis Towers Watson Interview Questions by Category

Risk Management and Insurance

   – How would you approach designing a comprehensive risk management program for a multinational corporation?

   – What factors would you consider when advising a client on their insurance portfolio optimization?

Human Capital and Benefits

   – How would you help a client redesign their employee benefits program to improve cost-efficiency and employee satisfaction?

   – What strategies would you recommend for a company looking to enhance its talent retention in a competitive market?

Investment Consulting

   – How would you advise a pension fund on adjusting its investment strategy in light of changing market conditions?

   – What approach would you take to evaluate the performance of an investment manager for a client?

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Willis Towers Watson Interview Questions and Answers

How would you approach designing a comprehensive risk management program for a multinational corporation?

Designing a comprehensive risk management program for a multinational corporation requires a structured and holistic approach. I would begin by conducting a thorough risk assessment across all of the corporation’s operations, considering various risk categories such as strategic, operational, financial, and compliance risks. This would involve engaging with key stakeholders across different business units and geographies to understand their specific risk concerns and priorities.

Next, I would analyze the company’s current risk management practices and compare them to industry best practices and relevant regulatory requirements in each jurisdiction where the company operates. This gap analysis would help identify areas for improvement.

Based on this assessment, I would develop a risk management framework tailored to the corporation’s specific needs. This framework would include:

  1. A clear risk governance structure, defining roles and responsibilities for risk management across the organization.
  2. Risk identification and assessment processes, including tools and methodologies for ongoing risk monitoring.
  3. Risk mitigation strategies, which might include a combination of risk transfer (e.g., insurance), risk reduction, and risk acceptance approaches.
  4. A crisis management and business continuity plan to address potential high-impact events.

How would you help a client redesign their employee benefits program to improve cost-efficiency and employee satisfaction?

Redesigning an employee benefits program to improve cost-efficiency while enhancing employee satisfaction requires a balanced and data-driven approach. I would start by conducting a comprehensive analysis of the current benefits program, including its costs, utilization rates, and employee feedback. This would involve analyzing claims data, conducting employee surveys, and benchmarking against industry peers.

Next, I would segment the workforce to understand the diverse needs of different employee groups. This could involve considering factors such as age, family status, and job level to ensure the benefits package caters to various life stages and preferences.

Based on this analysis, I would propose a redesigned benefits package that might include:

  1. A core set of benefits provided to all employees.
  2. Flexible benefits options that allow employees to customize their package based on their individual needs.
  3. Wellness programs that can help reduce healthcare costs in the long term while improving employee well-being.
  4. Technology-enabled benefits administration to improve efficiency and user experience.

How might predictive modeling be used to improve underwriting in the insurance industry?

Predictive modeling can significantly enhance underwriting in the insurance industry by enabling more accurate risk assessment and pricing. The application of predictive modeling in underwriting involves using historical data and statistical algorithms to forecast future outcomes or behaviors.

One key area where predictive modeling can be applied is in risk segmentation. By analyzing large datasets of policyholder characteristics and claim histories, insurers can identify patterns and correlations that may not be apparent through traditional underwriting methods. This allows for more granular risk classification, enabling insurers to offer more personalized and accurately priced policies.

Predictive models can also be used to identify potential fraud. By analyzing patterns in claims data, these models can flag suspicious claims for further investigation, helping to reduce losses from fraudulent activities.

In addition, predictive modeling can improve the efficiency of the underwriting process. By automating parts of the risk assessment, insurers can reduce the time and resources required for underwriting, particularly for simpler, low-risk policies. This allows underwriters to focus their expertise on more complex cases.

Another application is in predicting policyholder behavior. Models can be used to forecast the likelihood of policy renewals, enabling insurers to take proactive measures to retain valuable customers.

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