Lead Analytics Engineer — Actuarial, Finance & Investments

symetraexternal; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

SymetraExternal is seeking a Lead Analytics Engineer to model data and deliver clean, well-documented datasets for Finance, Investment Management, and Actuarial stakeholders. You will serve as SME for asset and actuarial data domains, review and influence junior engineers, and identify opportunities to create data products that advance company goals.

The role includes migrating investment data from legacy sources onto a modern cloud data platform, maintaining data quality, consistency, and

Responsibilities

• Design, build, and maintain scalable data models, curated datasets, and data marts for Finance, Investment Management, and Actuarial teams.
• Serve as the subject matter expert for investment and actuarial data domains, including holdings, transactions, security master data, valuations, performance, and attribution data.
• Lead the migration and transformation of investment data from legacy platforms to a modern cloud-based data ecosystem, ensuring data quality, consistency, and accessibility.
• Develop and optimize cloud-native data architectures.

Job description

About the role

The Lead Analytics Engineer is responsible for modeling data to provide clean, accurate, well-documented datasets for use across the organization. They will serve as the subject matter expert for asset and actuarial data models holdings, transactions, security reference, and performance data supporting Finance, Investment Management, and Actuarial stakeholders as investment data migrates from legacy sources onto a modern cloud data platform. They are expected to review, influence, and support the development of junior engineers, and have a positive influence across the analytics community. They identify new opportunities to create data products that advance company goals.

What you will do

• Design, build, and maintain scalable data models, curated datasets, and data marts that deliver trusted, business-ready data for Finance, Investment Management, and Actuarial teams.
• Serve as the subject matter expert for investment and actuarial data domains, including holdings, transactions, security master data, valuations, performance, and attribution data.
• Lead the migration and transformation of investment data from legacy platforms to a modern cloud-based data ecosystem, ensuring data quality, consistency, and accessibility.
• Develop and optimize cloud-native data