Mazars Associate Consultant Interview Questions and Answers

I am a good fit for EY because of my strong analytical skills, teamwork abilities, and passion for problem-solving.

• I have a proven track record of using analytical skills to solve complex problems.

• I thrive in a team environment and have experience collaborating with diverse groups of people.

• I am passionate about finding innovative solutions and continuously improving processes.

• I align with EY's values of integrity, res...read more

I have relevant experience in this area and have taken on leadership tasks.

• Managed a team of 5 consultants on a project for a major client

• Led the development and implementation of a new sales strategy, resulting in a 20% increase in revenue

• Served as project lead for a cross-functional team, successfully delivering a complex project on time and within budget

Yes

• Led a team of 5 engineers in a software development project

• Managed the project timeline, resources, and deliverables

• Provided guidance and support to team members, resolving conflicts and ensuring productivity

• Implemented agile methodologies to improve efficiency and collaboration

• Presented project updates and results to senior management

Seeking new challenges and growth opportunities.

• Looking for a more challenging role

• Seeking opportunities for professional growth

• Want to broaden my skillset

• Desire to work in a different industry

• Company restructuring or downsizing

• Relocation or personal reasons

Rewrite and reinstatement are two different methods of policy modification.

• Rewrite involves creating a new policy from scratch, while reinstatement involves restoring a lapsed policy.

• Rewrite may result in changes to coverage, premiums, and terms, while reinstatement typically restores the policy to its original state.

• Examples of when to use rewrite include major life changes or significant changes in risk, while reinst...read more

No, the company will not process the claim.

• The policy was cancelled in June due to non-payment.

• The policyholder reinstated the policy in September.

• The claim arises in August, which is before the policy was reinstated.

• Since the policy was not active in August, the company will not process the claim.

Supervised ML is a type of machine learning where the algorithm is trained on labeled data to make predictions or classifications.

• Supervised learning involves a dataset with labeled examples

• The algorithm learns from the labeled data to make predictions on new, unlabeled data

• Examples include image classification, spam filtering, and predicting housing prices

• Common algorithms include decision trees, logistic regression,