Investment Data Analyst

Role Overview

The Data Management team drives accountability for, and stewardship of, data as a strategic business asset. The team supports effective issue resolution, improved data quality, reliable data pipelines, and transparent measurement and monitoring. In contributing to a culture of operational excellence, the Data Management team focuses on ensuring accountability for resolving data quality issues, confirming that data is fit for purpose across consumption points, and collaborating with data stakeholders to structure data and design workflows that strengthen operational outcomes.

What You Will Do

Identify, problem solve and track investment data quality and accuracy concerns to resolution, including detecting, analyzing, and remediating root causes to complex issues. Manage and prioritize the backlog of data quality issues and requests, incorporating stakeholder input and risk mitigation principles, for both short-term and long-term end-to-end quality remediation.

Why It Might Be a Fit

The position requires a strong project management and process management skills to guide point-in-time and ongoing targeted data quality improvement projects. The ideal candidate will have a deep understanding of how data is used within investment and related processes and its impact on desired process outcomes.

Requirements

• Bachelor’s Degree or equivalent with a major in finance, computer science, engineering, data science or related field
• 6-8+ years of investment management industry experience, with preferably 7 or more years of related experience in investment data, analytics, and/or investment operations
• Strong project management and process management skills to guide point-in-time and ongoing targeted data quality improvement projects
• Proven analytical and problem-solving skills and ability to independently develop creative and scalable solutions to meet dynamic business needs
• Deep understanding of how data is used within investment and related processes and its impact on desired process outcomes
• Broad knowledge of equity and fixed income security types, including derivatives, as well as associated data methodologies and industry standards
• Strong professional judgement and communication skills across multiple levels of the organization
• Experience with basic data analysis techniques such as descriptive analysis, diagnostic analysis, regression analysis, etc.
• Ability to communicate at all levels of an organization
• Demonstrated ability to perform job responsibilities collaboratively as well as independently, and effectively in a fast paced and demanding environment

Benefits

• Competitive incentive bonus
• MFS contributes an amount equal to 15% of your base salary to your retirement account that is separate from the company-sponsored 401(k)
• Education Assistance: MFS contributes $100 monthly up to $10,000 lifetime maximum directly to loan provider
• Education Assistance: Tuition reimbursement up to $8,000 annually
• Education Assistance: Access to discounted tutors and college coaches
• Generous time off and fully paid leaves including 20-weeks for maternity, 12-weeks for parental and caregiver leaves
• Choice of medical and dental plans and an and an employer contribution into the Health Savings Account
• Tax deferred commuter benefits & flexible spending accounts (medical & dependent care)
• Wellness Programs: Robust wellness webinars, employee assistance program with a focus on mental health, subsidized fitness benefit via Wellhub (formerly Gympass)

Tagged as: Data Analysis