Actuarial Associate

Year    Noida, Uttar Pradesh, India

Job Description


Location(s)

  • Posting Location: Noida, India
CountryIndiaWorking ScheduleFull-TimeWork ArrangementHybridRelocation Assistance AvailableNoPosted Date04-Mar-2024Job ID3227Description and RequirementsMetlife, Inc (Metlife) has helped generations of people around the world protect their families and finances. We are one of the worlds leading financial services companies, providing insurance, annuities, employee benefits, and asset management to our individual and institutional customers.MetLife Global Operations Support Center (GOSC) at Noida is part of Global Technology & Operations. GOSC is the first MetLife managed global operations center outside North America. It provides MetLife a distinct strategic advantage through its world class infrastructure, operating practices and highly skilled workforceRole value proposition:This is a role in Global Actuarial Modeling (GAM) for the EMEA Region. GAM is a part of Actuarial Resources which sits within Finance Management Group (FMG). GAM is responsible for delivering robust and scalable actuarial modeling solutions in accordance with enterprise & regional objectives.GAM plays a crucial role in generating accurate and timely numbers which become part of our overall financials. These financials are submitted to various external and internal stakeholders like the SEC in USA, Central Bank of Ireland, other regulators, senior management and MetLifes board. Our financial results are key to measuring performance against targets and company strategy, as well as in shaping the strategy for future. GAMs work generates key analyses helping business to review the performance from different angles and in taking necessary actions.This role is responsible for managing GAM priorities for the EMEA region, focussing on Europe. This involves:
  • Collaborating with the EMEA Actuarial teams and IT partners to develop and run actuarial models
  • Defining input data requirements to support country specific reporting requirements.
  • Working within the Global Actuarial Modeling team to produce and deliver actuarial results for regional MetLife customers.
Principal responsibilities of the role:
  • Oversee modelling efforts and engaging with business customers.
  • Build models in line with MetLifes Global Actuarial Modeling Prophet coding standards.
  • Perform testing activities to provide quality assurance to the customer.
  • Support production activities to deliver actuarial results to satisfy various reporting exercises and various financial impact assessments.
  • Support GAM priorities to deliver on regulatory imperatives like IFRS17 or LDTI as applicable
Key performance indicators (KPIs) of position:
  • Error-free preparation of financial reports to required timescales and relevant actuarial standards
  • Execution of data validation and completeness checks
  • Contributing towards building a culture of collaboration, engagement, and trust while supporting the professional development of team members
  • Ensuring open communication across teams in various functions and geographies.
  • Taking demonstrable ownership of work; clearly flagging any issues and goal delivery concerns to senior leadership team.
Essential Experience, Skills and Competencies:
  • Ability to find solutions within agreed timescales
  • Excellent ability to communicate in English, (both written and verbal)
  • Aptitude for finding creative solutions to problems, challenge preconceptions
  • Good business acumen
Advantageous skills and experience:
  • An understanding of actuarial reporting software such as Prophet
  • Knowledge of other modelling platforms including Pathwise, Polysystems
  • Knowledge of programming in Python, VBA or other mainstream languages

MetLife

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Job Detail

  • Job Id
    JD3357970
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Noida, Uttar Pradesh, India
  • Education
    Not mentioned
  • Experience
    Year