Exposure Data Manager

<meta><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><br></p><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><b><strong style="color:rgb(37,57,90);white-space:pre-wrap;">About the Role:</strong></b></p><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><br></p><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><span style="font-size:11pt;white-space:pre-wrap;">As the Exposure Data Analytics Lead, you will:</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Lead analytics and investigations that help the business understand exposure patterns, accumulation risk, data completeness, and quality</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Define and enforce data standards, quality controls, and best practices for exposure data across business lines</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Collaborate with engineers, data platform, and analytics teams to enable downstream use (modeling, reporting, dashboards, catastrophe analytics)</span><br><br><span style="font-size:11pt;color:rgb(37,57,90);white-space:pre-wrap;">Key Responsibilities</span></p><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><br><span style="font-size:11pt;white-space:pre-wrap;">- Lead the oversight into ingestion, transformation, and normalization of exposure data from internal and external sources</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Validate and QA exposure data: identify anomalies, gaps, duplicates, inconsistencies, and drive improvements</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Partner with actuarial, underwriting, catastrophe modeling, and product teams to understand their exposure needs</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Develop and maintain exposure data documentation, data dictionaries, and process guidelines</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Enable and support analytical use cases (e.g. accumulation risk, portfolio stress testing, scenario analysis)</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Build, monitor and track data quality KPIs, build dashboards or alerts to surface issues proactively</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Support ad hoc analysis to diagnose exposure trends and concentration risk</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Provide guidance on integrating exposure data into downstream tools (e.g. modeling engines, pricing systems, BI)</span><br><br><span style="font-size:11pt;white-space:pre-wrap;">Qualifications / Skills</span><br><span style="font-size:11pt;white-space:pre-wrap;">Required:</span></p><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><br><span style="font-size:11pt;white-space:pre-wrap;">- Bachelor’s degree in a quantitative discipline (mathematics, statistics, engineering, computer science, actuarial science)</span><br><span style="font-size:11pt;white-space:pre-wrap;">- 3–4+ years of experience with exposure / insurance loss / policy data or related domain</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Strong proficiency in SQL; complex query and data transformation skills</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Experience in insurance / reinsurance / specialty lines</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Familiarity with exposure modeling or catastrophe modeling workflows</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Experience with cloud data warehouses like Snowflake</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Experience working with ADP data tools or equivalent</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Experience in data cleansing, validation, and QA</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Analytical mindset with strong problem-solving skills</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Excellent communication skills with both technical and non-technical stakeholders</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Self-starter with strong ownership and initiative</span><br><br><span style="font-size:11pt;white-space:pre-wrap;">Preferred:</span><br><br><span style="font-size:11pt;white-space:pre-wrap;">- Familiarity with MGA and delegated authority exposure data</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Python or R experience for data manipulation and validation</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Version control and orchestration tools (Git, dbt, Airflow)</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Data governance or metadata management experience</span></p>

Back to blog

Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...