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Job ID: 36525
Job Openings by Title Director
Location Ontario, Canada
Description:
Position:	Director

Company:	Insurance

Location:	Ontario

Job ID:		36525


Responsibilities:

- Develop and execute strategic experience study and monitoring plan ensuring a robust internal control environment exists for Canadian Division.
- Oversee the development and implementation of advanced analytic models to improve experience studies insights. Ensures that modeling efforts is well balanced vs incremental improvement and seek out new methodologies, where necessary, that are better suited for the specific study and product. Experience fitting and tuning predictive analytics models.
- Coach & provide guidance to Data Scientists & Data Analysts in the team by leveraging theoretical and practical knowledge of advanced analytic methods and algorithms.
- Effectively plan and execute work assignments, monitor progress, pipeline and implement changes.  Document all experience studies including material results and prepare ongoing schedules for planned study dates, data availability, constraints and development of assumptions for all actuarial liability calculations.
- Review analysis of observable experience produced by reporting team to support planned studies.
- Present findings, recommend assumptions and produce detailed management study reports using user friendly visualization, presentations.
- Perform regular monitoring of assumptions and create detailed reports.
- Build and maintain processes to ensure accurate information is reported and provided to the Finance business areas.
- Identify opportunities to improve the efficiency and effectiveness of Experience Analytics processes, including emerging technology around Big Data.
- Build effective relationships and establish a high level of credibility with all levels of management across the functional areas within Canadian Division.
- Influence the planned study dates in the experience study plan and assumptions used by the business.
- Understand the services provided by the Experience Analytics within the Service Level Agreement.
- Work to assess talent of team members and seek growth opportunities for individuals.
- Provide feedback to staff through regular performance appraisals, informal feedback, and coaching.
- Engage and inspire the team to make the best use of resources and ensure appropriate development and training opportunities are provided.
- Actively motivate and contribute to build team members' capabilities by adjusting your leadership style to individuals and situations.

Qualifications:

- Advanced degree in Statistics, Math, Comp Sci, Engineering, actuarial science or other related discipline with a minimum of 5 years' experience specifically in advanced analytic models or predictive modeling.
- Proficient in R/SAS/Python.
- Insurance/Financial Services Experience desired.
- Demonstrated leadership talents in coaching and motivating staff to achieve objectives of high performing teams in complex environments, remote locations and actively motivates and contributes to building team member capabilities.
- Inquisitive with strong analytical and problem solving skills, with strong technical skills to support automation.
- Proven ability to use financial models to address business needs.
- Demonstrated ability to communicate clearly and concisely with both technical and non-technical management, when presenting issues, options, and recommendations.
- Able to work in collaboration with a number of functional areas.
- Ability to quickly understand business, systems and project management processes and the risk implications, analyze complex situations, reach appropriate conclusions, and make value-added and practical recommendations.
- Excellent organization and time management skills and the ability to manage expectations and competing priorities in a changing environment while demonstrating sound judgment.
- Superior written, verbal communication skills and interpersonal skills; able to influence and negotiate with management at various levels of the organization. 
- Build strong relationship with key stakeholders.




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