Junior Quantitative Analyst - Remote

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 Overview

We 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.

Key Responsibilities

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

Required Qualifications
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

Preferred Qualifications
Knowledge of financial markets, derivatives, and portfolio theory

Familiarity with machine learning techniques

Experience with data visualization tools (Tableau, Power BI, etc.)

Compensation & Benefits
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

Eligibility

Applicants must be legally authorized to work in the United States
This position is open to USA applicants only
Work Schedule

Full-Time: Standard 40-hour work week

Part-Time: Flexible scheduling options available

Hybrid schedule combining remote and in-office work

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.