Associate Consultant - Presales Solutioning-Actuarial-Risk Management

5 - 9 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: You will be responsible for utilizing your expertise in economics, mathematics, computer science/engineering, operations research, or related analytics areas to contribute to insurance analytics. Your role will involve talent analytics, adhoc data analysis to address business problems, and the application of SQL, SAS, Python, and various modeling techniques. You must possess strong critical thinking and problem-solving skills along with excellent written and verbal communication skills. Additionally, you should be comfortable working in a fast-paced, ever-evolving environment and be prepared to tackle challenging tasks. Your ability to understand cross-cultural differences and collaborate with global clients will be crucial in this role. Key Responsibilities: - Utilize your expertise in economics, mathematics, computer science/engineering, operations research, or related analytics areas to contribute to insurance analytics - Conduct talent analytics and adhoc data analysis to solve business problems - Demonstrate proficiency in SQL, SAS, Python, and various modeling techniques - Apply critical thinking and problem-solving skills to achieve objectives - Communicate effectively through written, verbal, and presentation skills - Adapt to a fast-paced, continuously evolving environment and take on challenging tasks - Collaborate with clients across the globe, understanding cross-cultural differences Qualifications Required: - Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas - Candidates with BA/BS degrees in the same fields from top-tier academic institutions are encouraged to apply - 5+ years of experience in insurance analytics - Proficiency in SQL, SAS, Python, and various modeling techniques - Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work Role Overview: You will be responsible for utilizing your expertise in economics, mathematics, computer science/engineering, operations research, or related analytics areas to contribute to insurance analytics. Your role will involve talent analytics, adhoc data analysis to address business problems, and the application of SQL, SAS, Python, and various modeling techniques. You must possess strong critical thinking and problem-solving skills along with excellent written and verbal communication skills. Additionally, you should be comfortable working in a fast-paced, ever-evolving environment and be prepared to tackle challenging tasks. Your ability to understand cross-cultural differences and collaborate with global clients will be crucial in this role. Key Responsibilities: - Utilize your expertise in economics, mathematics, computer science/engineering, operations research, or related analytics areas to contribute to insurance analytics - Conduct talent analytics and adhoc data analysis to solve business problems - Demonstrate proficiency in SQL, SAS, Python, and various modeling techniques - Apply critical thinking and problem-solving skills to achieve objectives - Communicate effectively through written, verbal, and presentation skills - Adapt to a fast-paced, continuously evolving environment and take on challenging tasks - Collaborate with clients across the globe, understanding cross-cultural differences Qualifications Required: - Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas - Candidates with BA/BS degrees in the same fields from top-tier academic institutions are encouraged to apply - 5+ years of experience in insurance analytics - Proficiency in SQL, SAS, Python, and various modeling techniques - Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work

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EXL

Business Process Management / Analytics

New York

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