Financial Service Analyst - Bank/Insurance

Key Responsibilities:

- Advise clients on a wide range of issues across varied banking and/or insurance functions - Marketing, Pricing, Account Management, Collections, Operations

- Work with clients to gather business requirements from multiple sources i.e. product managers, development teams, and functional group members. Leverage functional and analytical expertise to design a solution to address on-going problems.

- Be responsible for generating actionable recommendations well-supported by quantitative analysis to help our banking clients address their ongoing problems

- Present analytic findings & opportunities for improvement to senior management and summarize key findings, and aid in the dissemination of metrics throughout the organization

- Build knowledge base and disseminate information on applications of variety of analytical techniques across varied banking functions

Skills:

- Masters/ Doctoral degree/Graduate degree in quantitative discipline like Statistics, Economics, Econometrics, Operations Research, Management or Engineering from a reputed university

- 5+ years of analytics experience preferably in Financial Services (Banking/Insurance) across one or more -stages of Customer lifecycle. Significant experience in managing analytics delivery

- Able to solution architect with project teams and lead large delivery teams

- Strong functional and analytic skills to identify potential business problems and translate business -requirements into tactical analytical requirements

- Experience in leading / assisting with BD efforts

- Strong people management skills both at client site and an offshore environment

- Excellent communication skills and ability to interact with all levels of end users, stakeholders and technical resources.

- Experience in resolving complex data issues in creative and effective ways. High self-motivation for success in a fast-paced, dynamic environment

- Adept in data architecture and interface design solutions

- Comfortable with techniques like regression, segmentation / clustering, optimization

- Hands on experience in ‘R’, ‘Matlabs’ and other open source technologies a must

- Additionally experience in analytical tools - SAS/SQL, SAS Enterprise miner is good to have

- Mandatory Tool: ‘R’