Manosha Hansini
About Manosha Hansini
Manosha Hansini is an Actuarial Analyst at Milliman in Colombo, where she has worked since 2020. She has experience in life insurance pricing models, data validation tools, and automation projects, with a strong educational background in mathematics and computer systems.
Work at Milliman
Manosha Hansini has been employed at Milliman as an Actuarial Analyst since 2020. In this role, she is responsible for carrying out quarterly forecasts, experience studies, and monthly statutory reserve calculations for a life insurance client based in the United States. Her work involves developing data validation tools using Excel and Python, contributing to the efficiency and accuracy of actuarial processes.
Previous Experience in Actuarial Roles
Prior to her current position, Manosha Hansini worked as an Actuarial Analyst at Spark Actuarial and Risk Consultants from 2018 to 2020. She also held the position of Junior Executive-Actuarial at LOLC from 2017 to 2018. During her tenure at LOLC, she developed a life insurance pricing model for an annuity product for a client in the UAE.
Education and Expertise
Manosha Hansini earned her Bachelor of Science (BSc) degree from the University of Sri Jayewardenepura, where she studied Mathematics, Statistics, and Chemistry from 2014 to 2016. Additionally, she completed a Higher Diploma in Computer Based Information Systems at the National Institute of Business Management, focusing on advanced database management, operational research, data mining, and J2EE from 2014 to 2015. She also holds a Diploma in Computer System Designing from the same institution, where she studied various programming languages and computer architecture from 2013 to 2014.
Training and Technical Skills
Manosha Hansini has received training in Risk Based Capital Regulations of Sri Lanka, longevity reinsurance, US GAAP, and yield curve extrapolation using Python. She is skilled in developing automation projects aimed at optimizing model run times through parallel processing, showcasing her ability to enhance operational efficiency in actuarial tasks.