Job Description Insight Global is seeking a Quantitative Finance Specialist to support one of our premier clients in the financial certification and professional learning industry. In this role, you will help integrate advanced quantitative finance concepts into globally recognized learning products, including professional credential programs and continuing education offerings. You will play a key role in developing, reviewing, and modernizing educational content related to quantitative methods, financial modeling, data analytics, and applied investment science. This role collaborates with internal curriculum designers and external subject‑matter experts to ensure accuracy, relevance, and alignment with industry standards in quantitative finance. Pay Ranges from $79-$82/hr depending on experience We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Advanced degree in Quantitative Finance, Financial Engineering, Applied Mathematics, Statistics, Econometrics, Data Science, or a related quantitative discipline. Strong understanding of quantitative investment methods, including modeling, portfolio analytics, econometrics, and risk analysis. Proficiency in Python, R, MATLAB, SQL, or similar analytical/programming tools. Demonstrated ability to translate complex quantitative concepts into clear, educationally sound content. Experience developing or reviewing technical training materials, academic content, or instructional resources. Excellent written and verbal communication skills, with the ability to communicate complex ideas to diverse audiences. Experience in asset management, quantitative research, algorithmic/quant trading, or risk modeling. Familiarity with machine learning applications in finance or working with large financial datasets. Background in instructional design, digital learning, or education technology. Experience co‑creating content with subject‑matter experts or cross‑functional teams. Knowledge of assessment creation, such as case studies, modeling exercises, or data-driven exam items. Exposure to cloud analytics or financial data environments.