Senior Technical Analyst – Investment Performance, Risk & Analytics – 100% Remote Candidate Location – Westlake (TX), New Hampshire, or North Carolina
Employment Type: 12 months plus contract Start date – ASAP
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
