What are the responsibilities and job description for the Senior Technical Analyst – Investment Performance, Risk & Analytics position at PeopleLogic?
Location: Westlake (TX), New Hampshire, or North Carolina
Work model: 1 week onsite / 1 week remote
About the Role
We are seeking a highly skilled Senior Analyst with deep expertise in Performance Attribution, Portfolio Risk, and Investment Analytics to join our Financial Services team. The ideal candidate will have hands-on experience working with alternative and digital investment products, combined with a strong technical foundation in Python, Data Science tools, and modern cloud/data platforms such as AWS S3, Snowflake, and Power BI.
This role offers the opportunity to work closely with portfolio managers, risk teams, and technology stakeholders to drive data-driven investment insights and enhance our analytics capabilities.
Key Responsibilities
- Lead the analysis of performance attribution, including asset allocation, security selection, and factor-based drivers.
- Develop and maintain portfolio risk models to monitor exposures, sensitivities, and stress-test scenarios.
- Produce clear and actionable investment analytics to support decision-making across public, private, and digital asset classes.
- Evaluate and perform detailed analysis on alternative and digital investment products, including structured products, crypto/digital assets, and private market offerings.
- Build automated analytical workflows using Python and Data Science techniques.
- Manage and optimize datasets using AWS S3 and Snowflake for scalable analytics and reporting.
- Design interactive dashboards and visualization frameworks using Power BI.
- Collaborate with investment, quant, and technology teams to improve data quality, modeling capabilities, and analytical frameworks.
- Ensure analytical outputs meet regulatory, compliance, and internal reporting standards.
Required Qualifications
- 5 years of experience in the financial services industry, ideally in asset management, wealth management, hedge funds, or fintech.
- Strong expertise in Performance Attribution, Portfolio Risk, and Investment Analytics.
- Proven experience working with alternative investments and digital investment products.
- Advanced proficiency with Python for analytics, modeling, and automation.
- Hands-on experience with Data Science tools, AWS S3, and Snowflake.
- Expertise in building dashboards and reports using Power BI.
- Strong quantitative, analytical, and problem-solving skills.
- Excellent communication skills with the ability to present insights to senior stakeholders.
Preferred Qualifications
- Master’s degree in Finance, Quantitative Finance, Data Science, Economics, or a related field.
- CFA, FRM, CAIA, or other industry certifications.
Experience with machine learning, factor modeling, or risk engines