1) The role has a broad set of responsibilities that combine operational data management, investment performance analysis and systems development tasks that formalize and automate investment operations.
2) Above all, the analyst will provide essential operational risk management and internal controls to preserve the Universityâ™s investment assets under the direction of the senior manager, using on-the-job knowledge while acquiring higher-level skills.
3) Under direct supervision, follows established internal controls to collect, reconcile, report, and make accessible the cash flow, valuation, and performancedata that support the Investment Officeâ™s sophisticated models and reporting. Provides investment support functions.
4) Builds investment analytic capacity by centralizing key data collection of new and on-going investments, such as liquidity terms, holdings and performance details, and communications from fund managers.
5) Aides in designing, building and testing systems to automate investment data collection, analysis and reporting.
6) Prepares exhibits for use in presentations to the management team and Investment Committee.
7) Performs other related work as needed.
8) Data verification and reporting.
Confirm and report the endowment portfolioâ™s daily cash position, projections, and portfolio market exposures. Verify cash flows, valuations, and static data inputs and outputs. Lead accounting close with custodian bank. Investigate and report discrepancies.
Calculate and verify all performance measurement calculations and related reports. This includes investment performance based on current accounting data and estimated hedge fund values and time-matched performance calculations based on actual, final returns.
Take full responsibility for final, complete, accurate return data and maintain a historical record of results and calculations, including methodology and benchmark definitions.
Verify the Universityâ™s custodial bank performance calculations.
Perform performance analysis including attribution and contribution to return calculations.
Prepare exhibits, reports, extracts, and data sets. Provide tools and analysis to support performance reporting commentary. Perform ad hoc performance and valuation calculations.
Gather and report data for the Universityâ™s participation in peer reports and other industry-related surveys. Maintain a historical record of responses. Explain universe composition and key differences.
9) Support Systems Analysis
Champion automation opportunities and contribute to process improvements.
Analyze, define, and document requirements for data, workflow, logical processes, interfaces with other systems, internal and external checks and controls, and outputs.
Design screen layouts, graphical user interfaces, reports, and interfaces with other systems.
Develop information about objectives, functions, features, and input and output requirements through first-hand experience.
10) Quality assurance
Analyze new features; estimate and develop the testing strategy; design, implement and execute the tests.
Perform simple SQL queries against databases to validate test results.
Identify, analyze, and document defects, questionable functions, errors, and inconsistencies in software program functions, outputs, online screens, and content.
Create and maintain testing artifacts.
1) Ability to work within a rigorous control environment. 2) Ability to understand accounting standards and their application to an institutional multi-asset class portfolio. 3) Ability to understand performance calculations and apply this understanding to new investment instruments and strategies. 4) Proactive problem-solving orientation. 5) Ability to collaborate across functional teams. 6) Strong verbal and written communication skills. 7) Ability to work independently, prioritize tasks, and understand the organization's goals and the impact of their function. 8) Keen interest in portfolio management and institutional investment issues. 9) Willingness and interest in expanding their knowledge of the investment process and capital markets. 10) Proficiency in Microsoft Office products, specifically advanced Excel and PowerPoint skills. 11) Ability to quickly master Tableau, Bloomberg, Backstop, and Northern Trust Passport systems. 12) Technological savvy with experience using SQL and at least one programming language. 13) Attention to detail. 14) Issue resolution skills.
1) Major in computer science, data science/analytics, software engineering, or finance
1) 2-5 years of relevant work experience. Preferably experience in the institutional investment industry. 2) Knowledge of the performance and valuation methodologies. 3) Experience working in a cross-functional, teamwork-oriented environment. 4) Experience working with developers, QA/QC analysts, project managers, end-users and product owners. 5) Experience with the following technologies/tools/skills is strongly preferred:
At least one Object Oriented programming language, preferably Java or C#
Relational databases and running SQL statements.
Scripting languages that support automation tasks (e.g. bash, Python).
Familiarity working in a Linux/Unix environment
Wild Fly Web Server
Licences and Certifications
1) CFA Institute Certificate in Investment Performance Measurement (CIPM)
2) Cover Letter
3) Reference list
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application
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