Investment Data Management Analyst

Northern Trust Corp

Chicago (IL)

On-site

USD 62,000 - 98,000

Full time

8 days ago

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Benefits offered by this job

401k and pension
Health and welfare benefits
Paid time off
Parental and caregiver leave
Life & accident insurance
Discretionary bonus program

Job summary

Northern Trust is seeking an Analyst to manage investment data and provide datasets for stakeholders. Under supervision, you will enter transactions, valuations, and manager estimates, and perform reconciliations across cash and positions.

The role supports NAV reviews and allocations for alternative investments, with opportunities to contribute to ongoing process improvements. Strong data accuracy and teamwork are essential.

Qualifications

  • Basic knowledge of the investment industry and markets.
  • Familiarity with IRR, time-weighted return, NAVs and accruals.
  • Understanding of hedge funds, private equity and other asset types.
  • Ability to prioritize, multi-task and meet deadlines.
  • Willingness to work unconventional hours during critical projects.

Responsibilities

  • Serve as point of entry for all investment data.
  • Enter investment transactions and valuations for various asset classes.
  • Prepare reconciliations for cash, positions and performance.
  • Review NAV and allocation for alternatives.
  • Support process improvements with specialized knowledge.

Skills

Investment industry basics
Investment concepts
Alternative assets knowledge
Prioritization & multitasking
Deadline-driven focus

Education

College degree in Finance/Accounting/Math/Economics

Tools

Investment Admin Platforms
Portfolio Analytics Platforms

Job description

Northern Trust is seeking an Analyst to manage investment data and provide datasets for stakeholders. Under supervision, you will enter transactions, valuations, and manager estimates, and perform reconciliations across cash and positions.

The role supports NAV reviews and allocations for alternative investments, with opportunities to contribute to ongoing process improvements. Strong data accuracy and teamwork are essential.

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