Process Associate - Insurance Claims (Spartan)

A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that, accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities

• Handling claims investigation, processing, and payments
• Claims document validation, calculating benefit amount, and releasing same to the beneficiary
• Meet productivity and quality targets on a daily, weekly, and monthly basis

Required Technical and Professional Expertise

• Graduate (except B.Tech/Technical Graduation/Law) with a minimum of 1.5 years of experience in Life/Annuities products in Claims
• Good Communication skills- English (both written & verbal)
• Proactive and high analytical skills; should foresee issues and suggest solutions, with impactful data
• Basic Computer knowledge along with typing speed of 35 words/minute

Preferred Technical and Professional Expertise

• Proficient in MS Office applications
• Self-directed and ambitious achiever
• Meeting targets effectively
• Demonstrated ability to analyze complex data, complemented by strong interpersonal and organizational skills