Data Systems Analyst

• Support initiatives to streamline and automate investment and reporting processes, including the use of AI tools to improve data access, accuracy, and workflow efficiency. Build reports that turn complex data into clear, actionable insights.

• 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.

• Bachelor’s degree in computer science, business analytics, or a related field; equivalent experience considered.

• AI implementation or project management experience strongly preferred.

• 1-2 years of experience in asset management, finance operations, or a related field preferred.

• Proficiency in SQL, Python, and Excel.

• Proactive, self-motivated team player.

• Strong communication and interpersonal skills across all levels of the organization.

• Strong analytical skills, attention to detail, and ability to understand business processes and data requirements.

• Ability to manage competing priorities and meet deadlines with accuracy and efficiency.

PineBridge is proud of our award-winning culture, which reflects our commitment to empowering employees and fostering a collaborative work environment. For six consecutive years (2020-2025), PineBridge has been named a ‘Best Place to Work in Money Management’ by Pensions & Investments, a leading industry designation which recognizes the best employers in the asset management industry by evaluating employer benefits, policies, and responses to an employee survey. In 2023, PineBridge received Hong Kong Institute for HR Management Elite awards for ‘Best Workplace’ and ‘Learning & Development’ and in 2024 we received Merit awards for ‘Talent Acquisition’ and ‘Employee Benefits.’ Alongside this, in 2023 and 2024 PineBridge was recognized as a finalist at the 100 Women in Finance’s APAC Industry Diversity, Equity & Inclusion Award.

Our benefits: We offer a wide range of family friendly benefits including comprehensive healthcare, back-up childcare program to support working parents and flexible work arrangements so you can be there for the people you care about. We also provide a competitive retirement plan and tuition reimbursement. Furthermore, we have a robust list of professional development opportunities with the goal of engaging, retaining, and developing our talent.

Our values: We value our clients, investment excellence, collaboration with our distributed team members, empowerment, and independence as we honor our heritage and our roots.

*Salary Range: $100k-110k annually + bonus + benefits

MetLife Investment Management and PineBridge Investments now have more to offer; broader reach, deeper insights and specialized capabilities - forming a top-tier global investment platform.

Together, we have more than $700 billion in assets under management as of March 2026 and aim to deliver consistent risk-adjusted returns. From multi-asset, equities, and fixed income to private credit and real estate, we offer specialized capabilities backed by a broader global reach and regionally grounded insights tailored to investor needs.

What sets us apart isn’t just the breadth of our platform and capabilities - it’s how we partner. Across both firms, we share a strong investment culture that prioritizes partnership, transparency and accountability. We believe that our clients benefit from direct access to decision-makers and reinforced by a culture that views decisions through the client’s perspective. Join us and experience the excitement of working with the brightest minds in the industry, shaping the future of asset management.

The role will be based in New York with the expectation of a hybrid work model.

PineBridge Investments is seeking a Data Systems Analyst to support the firm’s investment management platform by enhancing data integrity, reporting capabilities, and operational efficiency. This individual will work closely with investment, client, and business teams to transform data into meaningful insights, support strategic initiatives, and leverage technology solutions including AI-driven tools to improve processes and decision-making across the organization. The ideal candidate is analytical, collaborative, and passionate about using data and technology to drive business outcomes.