Actuarial-Data & Models-Associate 2-Kolkata

Actuarial-Data & Models-Associate 2-Kolkata

0-1 years
Not Specified

Job Description

Line of ServiceAssurance
Industry/SectorFS X-Sector
Management LevelAssociate
Job Description & SummaryA career within Financial Markets Business Advisory services, will provide you with the opportunity to contribute to a variety of audit, regulatory, valuation, and financial analyses services to design solutions that address our clients complex accounting and financial reporting challenges, as well as their broader business issues.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As an Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
  • Invite and give in the moment feedback in a constructive manner.
  • Share and collaborate effectively with others.
  • Identify and make suggestions for improvements when problems and/or opportunities arise.
  • Handle, manipulate and analyse data and information responsibly.
  • Follow risk management and compliance procedures.
  • Keep up-to-date with developments in area of specialism.
  • Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
  • Build and maintain an internal and external network.
  • Seek opportunities to learn about how PwC works as a global network of firms.
  • Uphold the firm's code of ethics and business conduct.

You will play an integral role in serving multiple insurance and non-insurance clients which includes the following but are not limited to:

  • Assisting insurers modernize their processes by leveraging new technology and methods to simplify their processes, improve their ability to gain insights from their data, and reduce their costs

  • Helping these insurers improve the predictive ability of their models harnessing their data and leveraging machine learning and artificial intelligence.

  • Using these same techniques to assist insures and other financial services companies in optimizing their balance sheet and risk profiles

  • Supporting financial services and other multinational companies assess the impact of climate change on their business.

Specific responsibilities include but are not limited to:

  • Participating in a wide range of projects and collaborating across multiple work streams or teams consistently demonstrating creative thinking, individual initiative and timely completion of assigned work.

  • Consistently demonstrating teamwork dynamics by working as a team member: understanding personal and team roles contributing to a positive working environment by building solid relationships with team members proactively seek guidance, clarification and feedback.

  • Ability to prepare deliverables within stringent deadlines.

  • Keep up to date with local, national and international business and economic issues.

  • Contribute to the development of your own and team's technical acumen.

  • Serve as participant on communications with numerous Engagement teams

A career in this practice will provide you the opportunity to help organizations by providing technical actuarial services. You will have the opportunity to specialize in some of the following:

  • Demonstrating some abilities and/or a proven record of success, as both an individual contributor and team member with identifying and addressing client needs by:

  • Demonstrating understanding of financial stochastic models and producing optimized code efficiently

  • Demonstrating understanding of database architecture and data manipulation

  • Knowledge of statistics, regression models, predictive analytics techniques

  • Communicating complex financial concepts in a clear, concise and understandable form tailored to the background and capabilities of the audience

  • Creating a positive environment by monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members

  • Delivering clear requests for information

  • Providing candid, meaningful feedback in a timely manner and,

  • Keeping leadership informed of progress, issues, or potential conflicts.

  • Master's in Data Processing / Operations Management or Research / Mathematical Statistics / Applied Mathematics / Financial Mathematics / Actuarial Science or other related fields of study.

  • Work Experience ranges as below:

    • Associate - 0 to 1 year for the members / associate of Actuarial Institutions and/or similar work experience.

    • Associate 2 - 1 to 2 years for the members / associate of Actuarial Institutions and/or similar work experience.

  • Work Experience from following organisations:

    • Big 4s - similar experience

    • Similar services provided in any of the 24 registered Life Insurance Companies in India like LIC, HDFC Life, ICICI Pru, etc.

    • Financial Consultancy / Financial Advisor Companies - Willis Towers Watson, Milliman, WNS Global Services, Numerica, Accenture

    • Similar services provided in General Insurance Corporation of India (GIC)

    • Similar services provided in Foreign Reinsurance Companies - Swiss Re, Munich Re, Scor SE, Hannover Re, RGA Life, XL Insurance Company SE, General Reinsurance AG, AXA France Vie, Allianz Global Corporate & Specialist SE

  • Advance knowledge on Microsoft Office especially Excel

  • An additional knowledge of either of the following would be needed:

    • Proficient in Python and financial engineering or numerical libraries (numpy, pandas)

    • Proficient in SQL knowledge and database structure

    • Knowledge of BI (Tableau, PowerBI, QuickSight)

  • An additional knowledge of either of the following would be Preferred:

    • Data visualization skills (Python dash or plotly, Tableau, Excel)

    • AWS / Azure experience, web development (Python / C#) experience

  • Proficient written and verbal English communication skills

  • Commitment to continuous training and to proactively learn new processes

  • Team player - committed to providing high quality and maintaining timeliness

  • Demonstrated self-motivation and a desire to take responsibility for personal growth and development.

Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required:Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel RequirementsNot Specified
Available for Work Visa SponsorshipNo
Government Clearance RequiredNo

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