Junior Quantitative Analyst - Remote
Portland, Jay County, Indiana, 47371, USA
Listed on 2026-02-21
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Finance & Banking
Data Scientist, Financial Analyst
About Us
We are a data-driven financial services organization dedicated to delivering innovative quantitative solutions across investment, risk management, and trading strategies. Our team leverages advanced statistical modeling, programming, and market research to drive performance and manage risk effectively.
Position OverviewWe are seeking a highly motivated Junior Quantitative Analyst to join our growing analytics team. This role is ideal for candidates with strong quantitative, mathematical, and programming skills who are eager to apply their knowledge in real-world financial markets. The Junior Quantitative Analyst will support model development, data analysis, research initiatives, and performance evaluation of trading and risk strategies.
Both full-time and part-time opportunities are available. This position offers a hybrid work structure
, combining remote flexibility with collaborative in-office engagement.
- Assist in developing, testing, and validating quantitative models for trading and risk management
- Analyze large financial datasets to identify trends, anomalies, and opportunities
- Support backtesting of trading strategies and performance evaluation
- Conduct statistical analysis using Python, R, or similar tools
- Collaborate with senior analysts, traders, and risk teams
- Prepare reports and visualizations for internal stakeholders
- Maintain documentation for models and analytical processes
- Monitor model performance and recommend improvements
- Bachelor’s degree in Mathematics, Statistics, Finance, Economics, Computer Science, Engineering, or a related quantitative field
- Strong understanding of probability, statistics, linear algebra, and financial mathematics
- Proficiency in Python, R, MATLAB, or similar programming languages
- Experience with SQL and data analysis tools
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Ability to work independently and collaboratively in a hybrid environment
- Knowledge of financial markets, derivatives, and portfolio theory
- Familiarity with machine learning techniques
- Experience with data visualization tools (Tableau, Power BI, etc.)
- Base Salary: $125,000 – $140,000 per year (commensurate with experience)
- Annual Bonus: Typically 10–20% of base salary
- 401(k) Retirement Plan
- Health Insurance
- Dental & Vision Insurance
- Life Insurance
- Paid Time Off (PTO) and Company Holidays
- Professional development and training opportunities
Applicants must be legally authorized to work in the United States
This position is open to USA applicants only
Work ScheduleFull-Time: Standard 40-hour work week
Part-Time: Flexible scheduling options available
Hybrid schedule combining remote and in-office work
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