Associate, Data Operations

About the role

The Data Operations Associate is a key member of Pathstone’s centralized Data Operations team. This role plays an important role in ensuring the accuracy, integrity, and timeliness of firmwide data used across various business processes.

Responsibilities

• Support data quality processes across aggregation, governance, validation, and reconciliation workflows, including coordination with external data aggregation service providers and internal data platforms.
• Maintain and integrate data across internal business groups and operational processes, including billing, compliance, client reporting, investment research data management, and client onboarding.
• Support efforts to streamline, standardize, and automate data operational processes through better tooling, process design, data enrichment, and analysis.
• Support data systems implementation and analytics work (e.g. Monte Carlo simulations, Power BI) in collaboration with other business groups.
• Prioritize assigned tasks and manage workload to meet established deadlines and team expectations.
• Collect, validate, maintain, and reconcile large volumes of financial and operational data across systems and asset classes.
• Aid in maintaining and enhancing data validation rules, controls, and frameworks to improve data quality, integrity, and auditability.
• Collaborate with data aggregation service provider to ensure accurate client reporting across various asset classes.
• Support data- and database-related initiatives that improve quality, efficiency, transparency, and scalability.
• Perform daily and recurring data workflows, including automated data capture, exception handling, validation, reconciliation, and issue resolution.
• Use data extraction, transformation, and automation tools as directed to improve throughput, reduce manual effort, and strengthen controls.
• Assist in troubleshooting data-related issues, respond to internal inquiries, and provide high-quality operational support to business partners across the firm.
• Build knowledge of key data platforms, workflows, and operating procedures across the firm, including platforms such as Addepar, FactSet, Salesforce, and related systems.
• Use analytical tools to identify trends and exceptions and share findings with internal stakeholders.

Qualifications

• Bachelor’s degree in Finance, Economics, Business, Information Technology, or Data Science.
• Possess a basic knowledge of financial markets and reporting.
• Enjoy working with large amounts of data, complex problem-solving as it relates to data and operations, and working in a team-oriented culture built on collaboration.
• Possess a keen interest in data management, operations, and technology.
• Enjoy tackling complex, multi-dimensional problems and coming up with actionable solutions.
• Are adept at balancing a strong process orientation with a willingness to “think outside of the box” in identifying creative solutions as it pertains to data and operational efficiency.
• Demonstrate a strong ability to multi-task and balance time-sensitive priorities while maintaining a high level of attention to detail and accuracy.
• Value and model the attributes that make our team great: collaboration, excellence, good judgment, initiative, innovation, integrity, and inclusive leadership.
• Operate with excellent organizational skills, demonstrating the ability to handle pressure and work in a fast-paced, deadline driven environment.
• Have excellent written/verbal communication and interpersonal skills.
• Prioritize strong customer/client service orientation.
• Work effectively in a collaborative and collegial team environment.
• Show an ability to quickly adopt new technology platforms.

Preferred

• Basic to intermediate SQL knowledge.
• Basic to intermediate knowledge of other programming languages (R, Python, VBA, etc.).
• 1 – 2 years of private fund administration, financial reporting, and/or data operations experience.
• Proficiency in Microsoft Office applications with advanced Excel skills.
• Experience using Power BI or similar data visualization applications.
• Experience using Salesforce.

Benefits

Pathstone offers a competitive, flexible benefits program designed to support life both inside and outside of work. Benefits include comprehensive medical, vision, and dental coverage, flexible spending options, flexible PTO, life insurance, education support, a 401(k) plan, parental leave, and more.

Pay

Pathstone’s expected starting base compensation range for the position as of the time of this posting is $75,000 - $90,000 per year. The actual base compensation selected for this role will be set based on a variety of factors, including (but not limited to) experience, education, specialty and training. The successful candidate(s) may also be eligible for a discretionary bonus award.