What are the responsibilities and job description for the Junior Quantitative Analyst - Remote position at Novartis Norge?
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.
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.
Salary : $125,000 - $140,000