Machine Learning Engineer

This is a Fully Remote Job About Our Client: The organization operates within the financial data and analytics industry, providing index solutions and market benchmarks used globally to inform investment decisions. It addresses the challenge of delivering transparent, reliable financial market data and insights by developing widely recognized indices, including the S&P 500 and Dow Jones Industrial Average, which serve as essential tools for portfolio evaluation and investment strategy development. The company supports a significant scale of assets under management linked to its indices, reflecting its broad impact in capital markets. About the Opportunity: The MACHINE LEARNING ENGINEER position focuses on developing predictive models and data-driven products to analyze large financial datasets. The role involves conducting advanced research and applying machine learning techniques to uncover patterns in financial data, thereby contributing to the organization's ability to deliver innovative analytical solutions. This position is critical in transforming complex data into actionable insights that support the organization’s financial products. Responsibilities: Identify and prototype predictive data-driven products using statistical analysis and machine learning Conduct research and analyze large proprietary and open-source financial datasets Formulate and test hypotheses on data distributions and patterns Design, implement, and evaluate statistical and machine learning models Write production code and tests for predictive models and algorithms Perform peer reviews of research, prototypes, models, and code Stay current with advancements in statistical and machine learning methods Maintain expertise in programming tools and machine learning packages Requirements: Master’s degree in Computer Science, Statistics, Data Science, or related quantitative field At least one year of experience in data science or a related quantitative role Experience with machine learning and artificial intelligence tools Proficiency with data preprocessing, exploration, and visualization tools such as Jupyter, Matplotlib, Pandas, and Scikit-learn Familiarity with data management, storage, deployment, and machine learning operations Experience conducting and publishing machine learning research and producing code Knowledge of agentic systems including Large Language Model code generation and tool use Pay Range and Compensation Package: Base salary range: $209,000 to $250,300 Final salary based on location, experience, skills, and certifications Eligible for annual incentive plan Access to additional benefits provided by the broader organization Benefits & Perks: Health and wellness coverage Generous paid time off Continuous learning resources Retirement planning and student loan assistance Family-friendly benefits including paid maternity and paternity leave Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.