Predictive / Trading Models Analyst

Predictive / Trading Models Analyst
Location: United States
Work Arrangement: Remote / Hybrid
Job Type: Full-Time
Experience Level: Entry-Level / Associate
Job Overview
We are seeking a detail-oriented and analytical Predictive / Trading Models Analyst to support the development, evaluation, and improvement of predictive models and quantitative trading strategies. The successful candidate will assist with analyzing financial and market data, testing model performance, identifying patterns, and preparing analytical reports to support data-driven decision-making.
This position is suitable for individuals with strong quantitative skills, an interest in financial markets, predictive analytics, and model development. Previous experience in quantitative analysis, financial modeling, or data science is an advantage.
Key Responsibilities
Assist with developing and evaluating predictive models for financial and market analysis.
Collect, clean, organize, and analyze historical and real-time market data.
Support the research and testing of quantitative trading strategies.
Conduct statistical analysis to identify market patterns and trends.
Assist with backtesting trading models using historical data.
Evaluate model performance, accuracy, and reliability.
Monitor model outputs and identify potential anomalies or performance issues.
Support risk analysis and model validation activities.
Prepare analytical reports, charts, and presentations.
Maintain documentation of model assumptions, methodologies, and results.
Collaborate with quantitative researchers, data analysts, and technology teams.
Assist with improving model performance and analytical workflows.
Apply statistical techniques and data analysis methods to financial research.
Support the monitoring of market conditions and trading indicators.
Follow established research, risk management, and data handling procedures.
Qualifications
Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field.
Strong analytical, quantitative, and problem-solving skills.
Basic understanding of financial markets and trading concepts.
Familiarity with statistical analysis and data interpretation.
Proficiency in Microsoft Excel and spreadsheet-based analysis.
Basic programming knowledge in Python, R, or a similar language.
Strong attention to detail and data accuracy.
Ability to communicate analytical findings clearly.
Ability to work independently and collaboratively in a remote environment.
Preferred Qualifications
Previous experience in quantitative research, financial analysis, predictive analytics, or data science.
Familiarity with Python libraries such as pandas, NumPy, scikit-learn, or similar tools.
Understanding of time-series analysis and statistical modeling.
Experience with backtesting frameworks or quantitative research tools.
Knowledge of trading strategies, portfolio analysis, and market risk concepts.
Familiarity with SQL, financial databases, or data visualization tools.
Understanding of model validation and performance evaluation techniques.

Skills
Python, SQL, Data Analysis, Pandas, Excel, Financial Analysis, Financial Modeling

Experience
0-1 yrs

Work arrangement
Yes