Portfolio DataOps Analyst

Bachelor’s degree from an accredited college or university 

Professional Accounting/Finance designation (such as CFA, CPA) considered an asset

2+ years in Financial Services with an exposure to P&L reporting or Operation processing 

Product knowledge of domestic, global and OTC security markets, fixed income, and derivatives 

Strong customer relationship skills 

Knowledge of Hedge Funds

Ability to manage time effectively, set priorities and meet deadlines 

Strong proficiency with Microsoft Office suite, especially Excel 

Natural flair for technology

Produce daily operational deliverables in line with client service level agreements, in any of the following three areas:

• Data Validation:

  • Ensure complete data feeds and data ingestion (Client, counterparty, vendor, and internal data)

  • Validate feeds and resolve/escalate feed issues 

  • Ensure feed standardization through Normalized Data Containers 

  • Set up new accounts in Centralized account management system

  • Driving automation quality for trading, accruals, broker, and related data

  • Achieving this through optimized processes and configuration of middleware, Æxeo S, CitcoRecs and management of vendors

• Processing 

  • Loading/processing and amending of all trades (Internal and external trades)

  • G/L Bookings and amendments & leveraging automation where available

  • Ensure processing standardization through ATM/BRM/RPA 

  • Display good understanding of GL automation

Ensure process excellence through focus on metrics and KPI’s to drive data quality standards across clients and vendors. 

Cultivate a culture of continuous improvement by proactively seeking opportunities for process enhancement, emphasizing efficiency gains through automated solutions and proposals to push back process changes to source.

Adhere to standard practices and internal procedures in all aspects of work, ensuring consistency and compliance with organizational policies.

Support of audits/conversions and new launches 

Maintain positive and professional relationships with all stakeholders.

Review and coach junior staff; assist in the resolution of day-to-day issues 

Prioritization

• Determination of relative urgency of activities in terms of impact to client experience

• Alignment to SLA’s, deliverables, and impact across operating model

Processing Oversight

• Surfacing completeness of bulk data feeds and overall processing and status of activities to complete

Process Standardization and improvement

• Process Standardization in the context of diverse client relationships, integration methods and complex instruments

• Identify and propose improvement opportunities.

System Integration

• Presentation of integrated workflow, activities and data across systems including trade data pending load into Aexeo

Data – Driven Decision Making:

• Embrace a data-first approach, demonstrating proficiency in working with diverse datasets

• Conduct thorough data analysis, and implementing automation processes to extract valuable insights and drive informed business decisions

Collaboration

• Channels to gather client-specific knowledge and guidance, while providing effective supporting communication to all participants in the NAV process

Risk Management

• Awareness and comprehension of Risk appetite with an ability to recognize if a process is inside or outside of appetite

• Comfortable in pushing back on processes deemed to be outside of appetite and/or working with counterparts to bring processes back inside tolerance

• Embracing and enabling an open risk culture where issues or errors are viewed as a learning opportunity and recorded without fear on the risk reporting tool