Junior Quantitative Analyst - Remote

Novartis Norge; San Antonio (TX); Hybrid; USD 125,000 - 140,000; Full time

Benefits offered by this job

401(k) Retirement Plan

Health Insurance

Dental & Vision Insurance

Life Insurance

Paid Time Off (PTO)

Job summary

A data-driven financial services firm is seeking a Junior Quantitative Analyst to join its growing analytics team. The ideal candidate will have a Bachelor’s degree in a quantitative field and strong skills in programming and quantitative analysis. Responsibilities include assisting in the development of trading and risk management models, analyzing large financial datasets, and collaborating with senior analysts and traders. The role offers both full-time and part-time opportunities with a hybrid work structure.

Qualifications

• Strong understanding of probability, statistics, and linear algebra.
• Experience with SQL and data analysis tools.
• Excellent written and verbal communication skills.

Responsibilities

• Assist in model development for trading and risk management.
• Analyze financial datasets for trends and anomalies.
• Collaborate with senior analysts and traders.

Skills

Quantitative analysis

Programming

Statistical analysis

Problem-solving

Collaboration

Education

Bachelor’s degree in a quantitative field

Tools

Python

R

SQL

MATLAB

Tableau

Power BI

Job description

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 toolsStrong 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.