Consultant, Investment Data Operations at Northern Trust

Chicago, Illinois, United States

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Asset ManagementIndustries

Bachelor’s degree in finance, accounting, economics, business administration, mathematics, statistics, or data analytics (or equivalent experience)
Progress toward or completion of advanced credentials such as CFA, CAIA, CIPM, or MBA (preferred)
Experience in investment performance measurement, alternative asset operations (including private equity and hedge funds), or investment/fund accounting
Demonstrated experience working with large, complex investment data sets and ensuring data integrity across systems
Strong understanding of private equity metrics such as TVPI, DPI, and PIC
Familiarity with IBOR and ABOR reporting standards
Proficiency in Microsoft Office Suite, particularly Excel; experience with data reconciliation tools or investment data platforms (plus)
Strong organizational and time management skills with the ability to manage multiple priorities
High attention to detail and a strong commitment to data accuracy and completeness

Act as the daily point of contact for internal operational inquiries related to investment accounting and data workflows
Perform initial and secondary reviews of investment data, including investment transactions, valuations, manager estimates, plan income/expenses, contributions, withdrawals, benchmark data, and underlying manager exposures
Ensure accuracy and consistency of portfolio data across systems and reporting platforms
Support data management related to transactional impacts on realized gains/losses, cost basis, and market value
Conduct secondary reviews of investment reconciliations including cash, positions, performance, transactions, and unfunded commitments
Participate in onboarding activities, including internal discovery sessions, project planning, and coordination across teams
Assist in training new team members in investment accounting, data validation, and operational procedures
Contribute to ongoing process improvement, data quality initiatives, and documentation of best practices