Asset Data Operations Analyst – Data Quality & Reconciliation

aresmgmt; New York (NY); On-site; USD 95,000 - 110,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) with company match

FSAs/HSA with company contribution

Life and disability insurance

Job summary

Ares Insurance Solutions (AIS) seeks an Analyst to support Asset Analytics and Data Operations for investment portfolios backing life and annuity liabilities. You will ensure data quality, accuracy, and completeness across multiple systems and sources.

The role involves investigating data anomalies, supporting FP&A and projection inputs, and collaborating with Finance, Actuarial, Technology, and Investment Operations to maintain data integrity and governance across the organization.

Qualifications

• Strong analytical and problem-solving skills with attention to detail.
• Ability to communicate findings and requirements to stakeholders.
• Experience with data governance, reconciliations, and data quality processes.

Responsibilities

• Monitor data quality and reconciliation across investment data and systems.
• Investigate data anomalies and resolve reconciliation breaks across sources.
• Support FP&A inputs, projections, and validation checks for models.
• Collaborate with Operations, Finance, Actuarial, and Technology teams.
• Assist with data governance, controls, and process improvement initiatives.

Skills

Analytical skills

Attention to detail

Communication

Problem-solving

Cross-functional collaboration

Education

Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Data Analytics, Information Systems, Engineering, Actuarial Science, or related field

Tools

Microsoft Excel

SQL

Python

Power BI

Alteryx

Job description

Ares Insurance Solutions (AIS) seeks an Analyst to support Asset Analytics and Data Operations for investment portfolios backing life and annuity liabilities. You will ensure data quality, accuracy, and completeness across multiple systems and sources.

The role involves investigating data anomalies, supporting FP&A and projection inputs, and collaborating with Finance, Actuarial, Technology, and Investment Operations to maintain data integrity and governance across the organization.