Senior Systems Analyst
$90k - $180kDormont Manufacturing Company
About Us Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long‑term view that aligns our perspectives with those of our clients. About the Role TITLE: Senior Systems Analyst TEAM: Global Data & Application Support (GDAS) LOCATION: Needham, MA REPORTING MANAGER: Swapnil Nagarkar Job Overview Wellington’s Global Data & Application Support team is seeking a Senior Systems Analyst to join the Data Support team that provides support to all of Wellington’s critical data platforms. This individual will work closely with data producer and consumer teams regionally and globally ensuring efficient daily operations and controls. Candidates must possess excellent data analytical and communication skills, be self‑motivated, willing to work in an energetic, fun, fast‑paced and team‑oriented group. The ability to manage multiple priorities is required. This position requires weekend on‑call rotation and special project shift coverage. Responsibilities Focus on data support to ensure the data used by our Investment professionals is accurate and updated in a timely manner. Collaborate closely with offshore colleagues and ultimately act as a point of escalation. Monitor and maintain data quality across internal systems and databases. Respond to data‑related queries and troubleshoot issues from business users. Perform data validation, cleansing, and reconciliation tasks. Assist in the creation and maintenance of reports and dashboards. Collaborate with cross‑functional teams to understand data requirements. Document data processes and contribute to process improvement initiatives. Support the onboarding of new data sources and system enhancements. Ensure quality of product by enforcing high standards in testing and building audit/validation controls. Act as an escalation point person for support issues that require detailed analysis and management. Provide regular status reporting and issue tracking. Being an adaptable, self‑motivated learner with a willingness to take ownership of various projects to support in a fast‑paced environment. Interact with business professionals at all levels of the organization in a dual capacity of developer and analyst to proactively identify opportunities for new or improved systems to enhance the investment data process. Provide hands‑on implementation of process improvements involving internal and external data pipeline, investment process efficiency, and simplifying investor workflow. Understand key business challenges/opportunities and be able to originate ideas on how systems can help in areas. Interact directly with back‑office business users and other business partners, at all levels of the organization on production issues to resolution and capture enhancement requests. Partner with development teams and business analysts to solve more complex problems and help document solutions for future reuse. Assist with the integration of AI technologies into GDAS support processes. Engage in proactive problem‑solving and continuous improvement of data support methodologies. Utilize SQL, prompt engineering, generative AI technologies, Python, and GraphQL to support and enhance data processes. Work directly with Corporate Action, Bank Loan Ops, Portfolio Managers, Traders. AI & Process Innovation Identify use cases where AI and automation can improve incident detection, triage, knowledge reuse, and operational efficiency while maintaining strong controls and compliance. Hands‑on experience with AI‑powered tools (e.g., LLMs, copilots, chatbots, workflow automation platforms) in a business or support environment. Familiarity with prompt engineering and evaluating AI output quality, accuracy, and risk. Champion AI as a force multiplier and amplifier for the team—standardizing patterns, integrating AI into day‑to‑day workflows. Partner with enterprise AI, data, and technology teams to pilot, scale, and continuously refine AI‑enabled solutions (e.g., intelligent monitoring, summarization of incidents, automated reporting, knowledge base generation). Qualifications 5+ years of experience in the financial industry with strong understanding of Fixed Income, Equity, FX and Derivative instruments. Bachelor’s degree in Business Management, Computer Science, Engineering is must. Experience with gathering functional requirements, developing specifications, test plans and test executions. Experience with design and development. Hands‑on experience in SQL or other relational database technologies is desirable. Experience working in an Agile/SCRUM development process. Experience with business process visualization tools. Hands‑on experience with Python (or another programming language) is highly desirable. Having a CFA charter or progress towards a CFA charter is a plus. Non‑Technical Requirements Excellent written, verbal communication and presentation skills. Excellent analytical and problem skills. Demonstrate strong client focus and relationship management skills. Willingness to learn and work as part of a global team. Willingness to work independently in an energetic, fast‑paced, business‑critical and team‑oriented‑environment. Committed to deliver project on time and overcome obstacles. A strong team player, with ability to work in collaboration across teams. Strategic and AI mindset; strong work ethic. Intellectual curiosity and interest to learn independently and from peers. As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at View email address on click.appcast.io. Compensation and Benefits At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is: USD 90,000 - 180,000 Base salary is only one component of Wellington’s total compensation approach. Other rewards may include a discretionary Corporate Bonus and/or Incentives, if eligible. In addition, we offer a comprehensive and high‑value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back‑up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time). We believe that in‑person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term. #J-18808-Ljbffr
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