Sr R&D Analyst/Product Data Scientist/Modeler job

Mercury Insurance

Job Ref:	SRRDA010597
Employer:	Mercury Insurance
Sector:	P&C/General Insurance/Non-Life
Qualifications:	Unclassified
Software:	PowerBI Python R SAS SQL
Job Type:	Full Time
Salary and Benefits:	$40 - $74 per hour
Remote:	Yes
Location
Country:	United States
Post Code:	Not specified
Map:	(Show on map)
Description
Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2023! 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 Senior R&D Analyst, you are playing a vital role in making our insurance product successful. This specific position will focus on Commercial Multi-Peril product, including Habitational, Small Business, Lessors, etc. Working independently, with limited supervision from the manager, the primary job function is to lead the effort of monitoring, auditing, and analyzing product performance to identify complex issues, recognize opportunities, make recommendations and implement measures to achieve overall profitability and growth in assigned and line of business. Be a key contributor to product and pricing improvements and development of next generation insurance products. Essential Job Functions: Leads the effort of monitoring, auditing, and analyzing product performance to identify complex issues,recognize opportunities, make recommendations, and implement measures to achieve overall profitability and growth in assigned states and line of business. Assumes project ownership and works independently to complete projects from beginning to end. Meets with management and colleagues to discuss analysis needs. Develops a project plan to incorporate business objectives, data scope, research methodology, resources and timeframe. Analyzes and tests new rating models against existing ones to determine performance of accuracy of prediction, loss ratio improvement and segmentation. Reviews data from various sources for analysis. Verifies accuracy of data pulled and revises methods of data retrieval when necessary. Prepares comprehensive reports, graphs and charts based on research and analyses. Develops and enhances algorithms. Recommends process improvements and/or goal changes. Develops and modifies presentations to show findings of analyses and recommend further action. Utilize SAS/SQL or other software to extract, manipulate and analyze large sets of data in order to recommend improvements in our product pricing. Utilize different modeling techniques, such as GLMs, neural networks, decision trees, cluster analysis, and multivariate statistical analysis, to build industry-leading risk pricing models, measure performance, and inform strategy Researches and proposes new ways to improve product offerings. Leads project work and performs ad hoc analyses. Multi-tasks and manages timelines effectively. Works with various functional groups and provides support as needed. Assumes leadership role on projects and coaches, mentors and develops less experienced Product Analysts as needed. Reviews and discusses analyses with colleagues and managers, providing coaching and feedback to less experienced Product Analysts when possible. Reviews and prepares forecasts and recognizes trends. May attend management meetings to present or discuss findings and recommendations. Supports projects by applying advanced knowledge of the business area processes, including best practices. Develops and enhances spreadsheets and tools for management use. Serves as a contact for reporting needs/issues regarding the most complex data. 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: 5+ 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 5 plus years of experience using data manipulation tools and standard predictive modeling techniques. 5+ years of property casualty insurance experience with advanced product, pricing, underwriting and insurance regulation knowledge is preferred 5+ years of advanced experience working with SAS, Python, R, and visualization software such as PowerBI preferred Or equivalent combination of education/experience Knowledge and Skills: Proficiency in data manipulation using tools such as SAS, SQL, R, Python or equivalent Fluent with standard predictive modeling techniques such as GLMs, logistic regression, and gradient boosting algorithms Detail-oriented and capable of delivering a high level of accuracy Excellent communication, analytical and problem solving skills required Proficient PC skills, including Microsoft Office Suite and SQL required Proven history of taking initiative and driving projects to completion with minimal guidance required 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: Competitive compensation Flexibility to work from anywhere in the United States for most positions Paid time off (vacation time, sick time, paid Company holidays, and 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.

ref: (SRRDA010597) 12 days ago

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