Senior Manager

1 month ago

Gurgaon, India EXL Service Full time
Role Specification

Objective of the Role

The role of Pricing Analyst is to develop and maintain accurate competitor pricing models using advanced modelling skills. Based on the findings from the analytical work, the role is also required to communicate findings effectively across different stakeholders, make recommendations align with the company's consumer and commercial brands and products strategic direction.

Key Accountabilities
  • Undertake price comparison with competitor brands to align with company's brand strategy. Monitor competitors' pricing movement, market share and applied all relevant information into pricing recommendations and proposals.
  • Develop statistical models to predict competitor pricing. Research competitor behaviours and attitudes leading to in depth knowledge and understanding of differences in pricing factors and strategy.
  • Identify, investigate and introduce new way of modelling with the objective of improving model accuracy for better prediction.
  • Promote innovation through improving current processes and automation.
  • Develop dashboards and reports to meet business needs, including report automation. Prepare ad-hoc reports and analysis for various parts of the business.
  • Develop pricing recommendations and proposals designed to closely align pricing strategy to each of the brand's target.
  • Assist Senior Pricing Advisors and Pricing Managers to make required pricing recommendations, implement and monitor them accurately.
  • Interpret data to identify and analyse emerging trends and produce appropriate reporting which monitors the performance of the Portfolios and to continuously drive an improvement in business results.
  • Build positive stakeholder relationships to foster a productive environment and open communication channels.
  • Prepare and review pricing papers before communication to key stakeholders
  • Review monitoring outcomes and adherence to compliance requirements.
  • Take responsibility for personal development plan and professional learning goals.


Qualifications

Relevant degree in Actuarial Studies, Statistics, Mathematics, Data Science or related field.

Experience Requirements
  • Advanced analytical skills in data science / statistical modelling / predictive modelling etc.
  • Ability to develop and undertake statistical analysis and research independently.
  • Experience in using SAS and R are essential. Other programming languages such as Python, SQL are desirable.
  • Experience in working with large and complex datasets.
  • Experience in General Insurance is desirable but not mandatory.
  • Good understanding of insurance products, industry, market environment and customer segment.


Capabilities Requirements
  • Problem solving - ability to seek out information and break down problems and situations into simple lists of components.
  • Communication skills - strong ability to convey and explain information, coherently and confidently both oral and written. Present findings to stakeholders with and without technical background.
  • Time management skills - prioritisation of work without supervision.
  • Project Management - Ability to plan, organize, implement, monitor, and control projects, ensuring efficient utilisation of technical and business resources, to achieve project objectives.
  • Proven ability to engage in a team to achieve individual, team and divisional goals.
  • Adaptable and responsive to a continuously changing environment.
  • Good influencing and collaboration skills across internal stakeholders.
  • Ability to use customer and commercial acumen to enhance business performance.
  • Creativity - Knowledge of the approaches, tools, and techniques for promoting creative, original thinking and ability to apply it to a variety of business situations.

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