Specialty and Quantitative Risk Analytics Leader

**What can you expect?**
- Report to Head of Analytics Solutions, Asia and dotted line to Head of Marsh Advisory Specialty Business, Asia
- Work within the regional and country Analytic Solutions team of 12-13 team members under Marsh Advisory where you will interact with both regional and country business segment leaders, Specialty business leaders and client managers and executives
- Collaborate actively with Head of Analytics Development and Head of Propositions and Delivery to drive overall Analytics Solutions success, where success is measured by the perceived/embedded values accompanying Marsh broking services, and also direct revenue generated by fee-for-service projects
- An unparalleled opportunity to develop your management techniques whist taking ownership for your own portfolio of work.
- To familiarize with the Marsh brand, culture and team dynamic build a network of internal contacts across the 12 countries supported in the region.
- To grow your own brand in this role with the opportunity to imprint your own style.
- ** Specialty Analytics**
- Support Marsh Specialty efforts to build analytics propositions for specialty businesses (Power and Energy, Construction, Aviation, Marine, Financial and Professional, Credit Specialty, Private Equity and M&A) - coordinating with business leaders on propositions development and model construction
- Collaborate with Marsh Specialty risk specialists regarding risk model outputs and how they are presented to client executives, clients, and prospects
- Drive engagement in fee-for-service analytics projects for Marsh Specialty clients
- Lead and direct the delivery of such fee-for-service projects for Marsh Specialty clients
- ** Quantitative Risk Analytics**
- Building and validating complex risk models for large corporates
- These models can be for insurable and uninsurable risk, financial and non-financial risk
- Examples of these complex models include:

- o Bespoke risk quantification for- Risk transferred via non-traditional or alternative risk transfer solutions (e.g. parametric cover) to insurance or capital markets- Climate, ESG and transition risks- Cyber risk- Business risk (incl. Credit, market, macro and business dynamics risk)- Responding to regulatory change
- o Financial impact modelling such as- Multi-period enterprise risk modelling- Scenario modelling (company specific and macroeconomic)- Financial statement projection- Quantitative insights to inform risk strategy- Financial ratio / ‘value driver’ analysis
- o Ad hoc statistical services such as- Data science / machine learning tools- Risk and business intelligence- Bespoke risk appetite calculation

**What is in it for you?**
- Be part of a reputable and recognized brand in the insurance broking and risk management industry by working with and learning from industry leading experts in the field.
- Unprecedented opportunity to meaningfully impact our clients and make a difference.
- Access to Employee Resource Groups that provide mentorship and development opportunities.

**We will count on you to**:

- Develop and scoping analytics for key clients and lead the consultants and analysts in the team to deliver client specific analytics solutions in support of risk finance decisions with the goal of positioning Marsh ahead of its competitors in this area.
- Lead, develop and perform a wide variety of financial and statistical analysis to help Marsh’s clients quantify the risks they face and make decisions on how to structure their insurance to optimize cost and protect themselves against those risks.
- Track key clients and expand propositions through connection with Client Executives and Risk Managers
- Coach team members on the delivery of analytics-based tools and analyses and presents findings to the client
- Manage your time well, knowing your deadlines and how to prioritise and project manage including working on multiple initiatives.
- Be curious; about the industry, the areas we have expertise in and bring this into the work you deliver in the form of ideas and new angles.
- Have the ability to turn complex technical information into accessible information for a broad audience.
- Be happy to roll your sleeves up and get things done

**What you need to have**:
An analytical/statistical degree and be a qualified Associate/ Fellow Actuary, with technical skill sets including:

- Several years of experience building risk models - examples include traditional property and casualty risk modeling, financial or commodity modeling, and non-traditional enterprise risk modeling
- Expert level of proficiency with MS Excel (including VBA) and either the R or Python language (preferably both)

A minimum 10 years in a general insurance analytical/actuarial management role, including:

- Strong project management and team leadership skills
- Strong knowledge of commercial insurance programs
- Strong technical capability in building quantitative models
- Several years of retail insurance or ris