Quantitative Investment Officer – Data-Driven Analytics

State-of-Illinois; Springfield (IL); On-site; USD 127,000 - 227,000; Full time

Job summary

Teachers' Retirement System of the State of Illinois (TRS) seeks a mid-senior Investment Officer (Quantitative Analytics) to develop and implement quantitative models for its $86B portfolio. You will back-test ideas, analyze asset classes, and optimize risk-adjusted returns in collaboration with investment leadership and external managers.

Responsibilities include risk budgeting, data analytics, and presenting findings to the CIO and board, while adopting innovative data sources and tools to

Qualifications

• Minimum 6 years of experience in quantitative modeling or quantitative investment portfolio management.
• Bachelor’s degree in a related field is required.
• Proficiency in statistical modeling, data analysis, and programming.

Responsibilities

• Develop and implement quantitative models to analyze asset classes, optimize portfolio construction, and evaluate opportunities and risks.
• Collaborate with risk and leadership to implement risk controls and risk budgeting.
• Deliver analytics to monitor investment performance and inform decisions; present findings to senior stakeholders.
• Work with internal teams, managers, and external partners to gather data for modeling and assessments.
• Identify new data sources and technologies to improve model accuracy and efficiency.
• Communicate complex quantitative results clearly to investment staff and board members.

Skills

Quantitative analysis

Risk management

Data analytics

Communication

Programming

Education

Bachelor’s degree in CS/Math/Stats/Engineering

Tools

Tableau

Power BI

SQL

Job description

Teachers' Retirement System of the State of Illinois (TRS) seeks a mid-senior Investment Officer (Quantitative Analytics) to develop and implement quantitative models for its $86B portfolio. You will back-test ideas, analyze asset classes, and optimize risk-adjusted returns in collaboration with investment leadership and external managers.

Responsibilities include risk budgeting, data analytics, and presenting findings to the CIO and board, while adopting innovative data sources and tools to