Job Description

What can you expect?
As a member of the Data Science team within Marsh Advisory, you will develop and maintain quantitative models and statistical analyses for property and casualty risk evaluation. Marsh Advisory helps companies to change their risk profiles so they can improve resiliency, reduce claims, and minimize the total cost of risk. Businesses today regularly tackle multiple challenges, whether facing property and casualty, cyber, reputational, or other risks, Marsh Advisory can help.

This position assists in research of economic factors, performs a variety of actuarial, financial and statistical analysis and supports the development of new, market-leading analytics-based tools to help clients assess and mitigate risk and to drive deep engagement with clients and colleagues.

We work as a team to implement and develop leading-edge techniques in predictive modeling, machine learning, artificial intelligence, natural language processing.

You can look forward to:

* A company with a strong Brand and strong results to match.
* Opportunities for internal mobility both lateral and vertical
* Competitive pay (salary and bonus potential), full benefits package starting day one (medical, dental, vision, STI/LTI, life insurance, generous 401k match AND contribution.
* Actuarial student program with study time, expense reimbursement and financial rewards for success
* After six months, eligible for tuition assistance and our Employee Stock Purchase Plan.
* Youd be entitled to 20 days of vacation, three personal days, time off to give back to your community, sick days, parental leave, and nine company holidays (with early dismissal the day prior).

Well count on you to:

* Assist in the development of new, market-leading analytics-based tools to assess risk and adapting existing models to new digital analytic tools and content delivery in an Agile environment
* Learn and support the production and maintenance of existing reports, models and dashboards by advising colleagues on data requirements, troubleshooting, collecting and adapting internal and industry data, and interfacing with IT staff
* Perform basic quantitative modeling and statistical analysis in order to assess risk and viability of risk mitigation solutions for internal and external clients
* Demonstrate skill in statistical analysis, actuarial, data science, and/or research techniques, combined with broader awareness of the business and ongoing research, to function in a collaborative and consultancy role with the Data Science team and across the wider organization

Youll need to have:

* Bachelors Degree in Math, Statistics, Data Science, Actuarial Science or related field
* Statistical modeling knowledge, including familiarity with machine learning techniques
* Knowledge of modern programming languages such as Python, R, SAS, VBA or SQL
* Microsoft Office skills (particularly in Excel including Visual Basic)

Wed love to see:

* Masters degree
* Interested in pursuing designation from the Casualty Actuarial Society with at least 2 actuarial exams passed
* Minimum 3 years Actuarial work experience
* Superior detail orientation, excellent communication and interpersonal skills