
Quantitative Research Analyst (C# and Python)
Hello there, we are currently seeking a talented and driven Quantitative Research Analyst with a strong background in C# and Python to join our team at Franklin Templeton Investments. As a global investment management firm, we are dedicated to delivering exceptional results for our clients and are looking for someone who shares our passion for data-driven analysis and innovation. In this role, you will have the opportunity to utilize your technical skills and advanced knowledge of programming languages to provide valuable insights and support decision making for our investment strategies. If you are a self-motivated individual with a passion for the financial industry and a strong aptitude for quantitative analysis, we encourage you to apply for this exciting opportunity.
- Conduct quantitative research and analysis using various tools and techniques to support investment decision making.
- Utilize programming languages, specifically C# and Python, to develop and maintain financial models and algorithms.
- Collaborate with other team members to identify and evaluate investment opportunities.
- Stay up-to-date with industry trends and developments in quantitative analysis to continuously improve processes and methodologies.
- Communicate complex quantitative concepts and findings to non-technical stakeholders in a clear and concise manner.
- Monitor and analyze market data, economic indicators, and other relevant information to identify potential risks and opportunities.
- Participate in the development and implementation of investment strategies, utilizing quantitative analysis to optimize portfolio performance.
- Identify and troubleshoot data or technical issues that may impact the accuracy of analysis and make necessary adjustments.
- Maintain accurate and organized records of research and analysis for future reference.
- Demonstrate a strong understanding of financial markets and industry regulations to ensure compliance with standards and guidelines.
Bachelor's Or Master's Degree In A Quantitative Field Such As Mathematics, Statistics, Economics, Or Finance.
Proficiency In Programming Languages Such As C# And Python, With Demonstrated Experience In Using These Languages For Data Analysis And Quantitative Modeling.
Strong Understanding Of Financial Markets And Investment Concepts, With The Ability To Apply Quantitative Methods To Solve Complex Investment Problems.
Experience Working With Large Datasets And Using Statistical Analysis Techniques To Extract Insights And Make Data-Driven Decisions.
Excellent Communication Skills And The Ability To Collaborate With Cross-Functional Teams To Present Findings And Recommendations In A Clear And Concise Manner.
Risk Management
Financial Analysis
Data Analysis
Market Research
Machine Learning
Database
Data Visualization
Algorithm development
Statistical modeling
Portfolio optimization
Time series forecasting
Programming Proficiency
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
flexibility
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Quantitative Research Analyst (C# and Python) in New York, NY, USA is between $80,000 and $120,000 per year. However, this can vary depending on factors such as experience, education, and the specific company or industry the analyst is working in. Some high-paying industries for quantitative research analysts include finance, technology, and consulting. Additionally, having proficiency in both C# and Python can also increase an analyst's earning potential.
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Franklin Resources, Inc. is a holding company, which engages in the provision of financial and investment management operations. It offers fund administration, sales, distribution, marketing, shareholder servicing, trustee, custody, and fiduciary services.

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