About the Company
Fidelity Investments is a multinational financial services corporation dedicated to helping individuals and institutions achieve their financial goals. With a rich history of innovation, we empower our clients with cutting-edge investment solutions, financial planning, and retirement services. We are driven by data and technology, constantly seeking to improve our algorithms and quantitative models to deliver superior results and user experiences. Our commitment to fostering a diverse and inclusive workplace makes Fidelity a place where talent thrives and makes a real impact.
Job Description
We are seeking a highly analytical and quantitatively focused AI Algorithm Performance Analyst to join our innovative team. This 100% remote role involves critically evaluating the performance of our proprietary AI and machine learning algorithms, focusing on their accuracy, efficiency, and robustness within financial market applications. You will be instrumental in identifying areas for improvement, validating model integrity, and collaborating with data scientists and engineers to enhance our algorithmic capabilities. The ideal candidate will possess a strong background in quantitative analysis, statistical modeling, and a deep understanding of AI/ML principles, particularly as applied in a high-stakes financial environment. Your work will directly influence the strategic direction and operational excellence of our AI-driven products and services.
Key Responsibilities
- Develop and implement robust metrics and dashboards to monitor AI algorithm performance in real-time.
- Conduct in-depth statistical analysis and backtesting to evaluate algorithm accuracy, bias, and stability.
- Identify performance anomalies, root causes, and provide actionable insights to data science teams.
- Collaborate with AI engineers and researchers to refine, optimize, and validate new and existing models.
- Design and execute A/B tests and other experimental setups to assess algorithm changes.
- Document performance findings, methodology, and recommendations for technical and non-technical stakeholders.
- Stay abreast of industry best practices, emerging AI/ML techniques, and regulatory requirements related to algorithmic fairness and transparency.
Required Skills
- Proficiency in Python or R for data analysis and statistical modeling.
- Strong understanding of machine learning algorithms (e.g., neural networks, SVMs, decision trees) and their underlying mathematics.
- Expertise in statistical hypothesis testing, regression analysis, and time-series analysis.
- Experience with large datasets and data manipulation tools (e.g., SQL, Pandas, Spark).
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps principles.
- Excellent problem-solving skills and attention to detail.
- Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, or a related discipline.
Preferred Qualifications
- Master's or Ph.D. in a quantitative field.
- Experience with financial markets, trading algorithms, or quantitative finance.
- Familiarity with model risk management principles.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Proven ability to communicate complex analytical concepts clearly and concisely.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- 401(k) plan with company match.
- Generous paid time off and holidays.
- Flexible work arrangements and a supportive remote culture.
- Professional development opportunities and tuition reimbursement.
- Employee wellness programs.
- Access to cutting-edge technology and tools.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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