Hybrid Data Systems Analyst – Investment Analytics & AI

pinebridge; New York (NY); Hybrid; USD 100,000 - 110,000; Full time

Benefits offered by this job

Healthcare

Back-up childcare program

Flexible work arrangements

Retirement plan

Tuition reimbursement

Professional development opportunities

Job summary

PineBridge Investments, a MetLife Investment Management company, is seeking a Data Systems Analyst in New York to strengthen data integrity, reporting capabilities, and operational efficiency across the investment platform.

The role collaborates with investment, client, and business teams to transform data into actionable insights and to leverage AI-driven tools to enhance decision-making. Hybrid work is expected.

Qualifications

• Bachelor's degree in computer science, business analytics, or related field (equivalent experience considered).
• Proficiency in SQL, Python, and Excel.
• Strong analytical skills, attention to detail, and ability to understand business processes and data requirements.

Responsibilities

• Support initiatives to streamline and automate investment and reporting processes, including the use of AI tools to improve data access, accuracy, and workflow efficiency.
• Support data processing, quality control, and troubleshooting within portfolio management systems.
• Assist with portfolio analysis, cash flow projections, and financial modeling.
• Respond to internal and external inquiries promptly and professionally.
• Partner with portfolio managers, sales, client relations, and other teams to support reporting, analytics, and operational needs.

Skills

Analytical skills

Strong communication

Proactive team player

Education

Bachelor's degree in computer science, business analytics, or related field

Tools

SQL

Python

Excel

Job description

PineBridge Investments, a MetLife Investment Management company, is seeking a Data Systems Analyst in New York to strengthen data integrity, reporting capabilities, and operational efficiency across the investment platform.

The role collaborates with investment, client, and business teams to transform data into actionable insights and to leverage AI-driven tools to enhance decision-making. Hybrid work is expected.