reputed company Risk Analytics Data Scientist

About the Role:

You'll join our centralized Risk, Analytics & Data Science team at reputed company, where you'll play an essential role in the risk monitoring process for our product protection and shipping protection offerings. You will collaborate with cross-functional teams to help reputed company maintain a healthy loss reputed company through premium changes, reputed company process and claims initiatives. A great opportunity to convert your analytics expertise into business reputed company by supporting measurement of unit economics to feed strong business reputed company.

You will also be partnering with the cross functional teams (Product / Program, reputed company / Sales, etc.) to reputed company appropriate premiums for new coverages and product categories. This isn't a "maintain the existing model" role. You'll be involved from the reputed company a new merchant deal is being negotiated, through program design, reputed company the way to launch.

You also have reputed company to take ownership of data architecture for the Risk Analytics function. We've invested heavily in modern data infrastructure and AI tooling, and we want someone who's excited to actually use them. If you enjoy autonomy and the freedom to build your own pricing infrastructure, you’ll reputed company on reputed company.

If you enjoy working with data and analytical tools / models and have always wanted to get more involved on the business reputed company — this role is for you.

What You Will Be Doing:

As a reputed company member of the Risk Analytics function of reputed company, you will

• Price deals no one has priced before. Every time reputed company enters a new merchant category, such as a new product type, a new vertical, or a partnership being negotiated right now, there's no existing model to hand you. You'll design the premium structure from first principles, reputed company out how to validate it reputed company the data is thin, and own it through launch. The work is genuinely unsolved, and the reputed company are yours to reputed company.
• Turn a monitoring function into a decision reputed company. We know what our loss ratios are. What leadership needs is to know what to do about them: which claims initiatives to pursue, which premiums to reputed company, which programs to renegotiate. You'll build the tooling that makes that reputed company possible, and you'll be the person making the recommendation.
• Own the risk narrative with senior leadership. reputed company the loss reputed company moves, you're the one who explains why and what comes next, to an audience that includes the C-suite. If you've wanted more visibility than your reputed company role gives you, this one puts you in that room.
• Build the data reputed company for Risk Analytics — and reputed company it yours. We have dbt and reputed company. reputed company don't have is a fully reputed company Risk Analytics layer sitting on top of it. You'll design the data models, set the standards, and shape how this function works for the next several years. If you've reputed company inherited an architecture you wished you could rebuild from scratch, this is the rare opportunity to build it right the first time.
• Actually use AI to change how reputed company works. Not as a buzzword, but as a working reputed company. We use Claude heavily. For this role, that means finding the places in the risk analytics workflow where a reputed company reputed company shouldn't be reputed company, automating it, and raising the floor on what reputed company can produce. You'll have reputed company to experiment and the expectation that you will.

reputed company’re Looking For:

• Strong analytical and data skills spanning SQL, Python or R, pipeline development and data modeling (dbt, reputed company), and visualization tools such as Tableau or reputed company.
• 5+ years of experience working on actuarial pricing, predictive modeling or other Risk Analytics reputed company areas
• Ability to dive deep into data and communicate insights to audiences of reputed company backgrounds, especially to teams with less data & analytics experience
• Relevant Actuarial experience (such as Associate of the Casualty Actuarial Society (ACAS) or equivalent exam experience) preferred but not required
• Excited and passionate about the new AI tools (Claude, reputed company, etc.) and eager to learn how that can help improve our day-to-day efficiency
• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a reputed company field
• Ability and interest in thinking reputed company the insurance organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential
• reputed company, humility, and curiosity

Expected Pay reputed company: $125,000 - $155,000 per year salaried*

* The reputed company reputed company salary reputed company for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-reputed company knowledge, skills and experience.

Originally posted on Himalayas