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Home Side Hustle Jobs RD Analyst II

$74,955–$138,744/Yr.

RD Analyst II

Apply Now
Full-time Remote 13d ago

Location:

Brea, CA, US

Company:

Mercury Insurance Services, LLC focuses on providing insurance and risk management solutions for various customer needs.

Summary:

The R&D Analyst II will monitor, audit, and analyze insurance product performance to drive profitability and growth. Candidates should possess a Bachelor’s degree and at least 3 years of relevant experience.

Requirements:

Technology: SAS, SQL, R, Python, PowerBI

Hard Skills: Predictive modeling techniques, Data manipulation using tools such as SAS, SQL, R, Python, Experience with SAS, Python, R, and PowerBI

Credentials: Bachelor’s degree in Business or related field, Master’s degree preferred in Business or related field

Experience: 3+ years of product management, product development and/or analytical experience in insurance, financial services, consulting, or similar industry, 3+ years of property casualty insurance experience with advanced product, pricing, underwriting and insurance regulation knowledge, 3+ years of experience working with SAS, Python, R, and visualization software such as PowerBI

Job Description:

Overview

Position Summary:

At Mercury, members of our Product Management Team are responsible for driving profitable growth in their assigned states and line of business (Personal Lines Auto, Property or Commercial insurance).  As a R&D Analyst II, you are playing a vital role in making our insurance product successful.

With general supervision from the manager, the primary job function is to work largely independently to monitor, audit and  analyze product performance, recognize opportunities and make recommendations to achieve overall profitability and growth in assigned line of business. Provide assistance and contribute to product and pricing improvements and development of next generation insurance products. 

Geo-Salary Information

State specific pay scales for this role are as follows:

$74,955 to $138,744 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$68,141 to $126,131  (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$61,327 to $113,518 (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.

Responsibilities

Essential Job Functions:

  • Utilize SAS/SQL or other software to extract, manipulate and analyze large sets of data in order to recommend improvements in our product pricing; Performs predictive modeling projects from existing code, modifies or enhances existing code or develops new code from scratch to complete projects; Tests new rating models against existing ones to determine performance of accuracy of prediction, loss ratio improvement and segmentation.
  • Works independently to monitor, audit and analyze product performance to identify issues and opportunities; Perform primary field research, including customer, distribution, competitor and insurance department; Provides assistance and contribute to product and pricing improvements and development of next generation insurance products. Recommends ideas to improve product offerings, process improvements and/or goal changes.
  • Meets with management and team to present analysis needs; Prepares reports, graphs and charts based on research and analysis. Operates within a project plan to incorporate business objectives, data scope, research methodology, resources and timeframe.
  • Performs other duties as assigned.

Qualifications

Education:

  • Bachelor’s degree required in Business or related field of study (e.g., Math, Economics, Finance, Statistics, Math/Actuarial Science).
  • Master’s degree preferred in Business or related field of study (e.g., Math, Economics, Finance, Statistics, Math/Actuarial Science).

Experience:

  • 3+ years of product management, product development and/or analytical experience in insurance, financial services, consulting, or similar industry, or equivalent combination of education/experience is required.
  • 3+ years of property casualty insurance experience with advanced product, pricing, underwriting and insurance regulation knowledge is preferred or equivalent combination of education/experience.
  • 3+ years of experience working with SAS, Python, R, and visualization software such as PowerBI preferred.

Knowledge and Skills:

  • Fluent with standard predictive modeling techniques such as GLMs, logistic regression, and gradient boosting algorithms.
  • Excellent communication, analytical and problem solving skills required.
  • Proficiency in data manipulation using tools such as SAS, SQL, R, Python.
  • Proficient PC skills, including Microsoft Office Suite.
  • Proven history of taking initiative and driving projects to completion required.

About the Company

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.

Perks and Benefits

We offer many great benefits, including:

  • Competitive compensation.
  • Flexibility to work from anywhere in the United States for most positions.
  • Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours).
  • Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus).
  • Medical, dental, vision, life, and pet insurance.
  • 401 (k) retirement savings plan with company match.
  • Engaging work environment.
  • Promotional opportunities.
  • Education assistance.
  • Professional and personal development opportunities.
  • Company recognition program.
  • Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more.

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.

Pay Range

USD $74,955.00 - USD $138,744.00 /Yr.

Apply Now

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