Junior Quantitative Analyst

About Us

Novartis Norge is 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.

Key skills/competency

• Quantitative Analysis
• Financial Modeling
• Statistical Analysis
• Python
• R
• SQL
• Risk Management
• Trading Strategies
• Data Visualization
• Machine Learning