Position Summary:
At Mercury, members of our Product Management Team are responsible for driving profitable growth in their assigned states and line of business Commercial Lines Auto and/or Commercial Multi Peril
The primary job function is to act as subject matter expert in statistical modeling methodology and/or product research. Identifies issues and recommends solutions and enhancements to current insurance products. Supports strategy to research, design, and develop new insurance products to achieve profitable growth.
An in-person interview may be required during the hiring process
State specific pay scales for this role are as follows:
$92,153 to $174,681 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)
$83,776 to $158,801 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
$75,398 to $142,921 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
Acts as a subject matter expert in statistical modeling methodology and product research; Identifies business opportunities through data analysis and market research; Researches and evaluates new data sources for risk segmentation improvement; Contribute to the idea generation on data process and modeling methodology evolution.
Supports the design, rating and development of new and enhanced products for targeted lines of business; Reviews and understands results of analyses and implements changes in pricing and product models as directed.
Partners with PDMs and cross functional teams including MTS, Underwriting, Sales Development, and other divisions to implement product enhancements; Supports company-wide initiatives on data and product delivery process.
Provides data, statistical and analytical support to others.
Mentors junior analysts and provides product training throughout the organization as necessary
Education:
Minimum: Bachelor’s Degree required with emphasis in analytical concentration such as Actuarial Science, Data Science, Economics, Engineering, Finance, Math, Statistics.
Preferred: Ph.D.'s or master’s degree preferred.
Experience:
Minimum: At least 2 years’ experience in the P&C Insurance industry and/or the product development field;
At least 8 years’ experience with data and analytics applications in Financial and other similar industries
Or equivalent combination of education/experience
Knowledge and Skills:
Technical knowledge of P&C industry products and services
Great analytical and quantitative skills
Advanced statistical modeling ability
Excellent written and verbal communication skills to correspond with internal and external customers
Proficient in Microsoft Excel and Access
Proficient in Python, R or other language and statistical software
Detail-oriented and capable of delivering a high level of accuracy
Ability to work in a deadline driven environment while demonstrating collaborative efforts with various teams
Why choose a career at Mercury?
At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.
Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.
We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.
Learn more about us here: https://www.mercuryinsurance.com/about/careers
We offer many great benefits, including:
Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.
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