Lead - Pricing Analytics - Insurance

Should have extensive experience in marketing analytics - designing and implementing solutions using statistical/predictive modelling techniques and tools such as SAS, R and SQL. Experience Insurance industry and in advanced AI/ML techniques is a big plus.

Responsibilities : 

- Closely liaise with clients to design and develop innovative solutions using advanced analytical techniques to solve specific business problems

- Design and deliver reporting and other analytical solutions as per clients requirements in the insurance pricing, actuarial and reserving domain, for various international markets

- Responsible for quality of one's own work and team's deliverables

- Ensure high quality standards and timely delivery in all projects. Mitigate associated risks by effective project planning and progress tracking

- Proactive client/customer engagement and management

- Keep up with cutting edge analytics techniques and tools in the continuously evolving area of decision science

Knowledge and Skills :

- Proven track record of designing and delivering analytics solutions - in Insurance and/or FS industries

- High degree of proficiency in SAS (R, Python - good to have) and database management skills (SQL programming)

- Very good interpersonal skills, able to influence without authority, adaptable to changes and possess initiative and creative approaches

- Strong analytical, presentation and communication skills

- Understanding of actuarial industry and related topics

- Experience in insurance pricing analytics (preferred)

- Proficient in R, Python and visualisation skills and tools such as Qlik, PowerBI etc. (preferred)

Competencies Required :

- Strong project and key stakeholder management experience, preferably in a commercial environment

- Proven ability to work as an individual contributor as well as manage a team