Quantitative Research Developer

As a Quantitative Research Developer at SCM, your primary responsibilities will include designing and developing simulation frameworks for backtesting execution approaches. You’ll collaborate closely with a talented team of quantitative researchers to brainstorm and create new trading ideas that enhance our offerings. This role requires strong technical skills, particularly in C++ and Python, as well as a deep understanding of market data and trading systems.

To apply for the Quantitative Research Developer position at SCM, candidates should have proficiency in C++ and Python, as well as experience researching, building, and maintaining trading systems with market data. A strong understanding of data paths from tick to trade, experience with analyzing time series data, and the capacity to work with large data sets are also essential qualifications for this role.

At SCM, we pride ourselves on offering a flexible work environment for our Quantitative Research Developers. You can choose to work fully in person at our Radnor, Pennsylvania office, remotely from anywhere, or in a hybrid arrangement that suits your needs. We believe that a supportive work culture not only enhances productivity but also fosters innovation.

The anticipated salary range for a Quantitative Research Developer at SCM is between $150,000 and $300,000 per year. This reflects our commitment to attracting top talent and is based on experience, skills, and qualifications. Additionally, compensation can include performance bonuses and comprehensive benefits, enhancing your overall earnings.

SCM is dedicated to creating a diverse and inclusive workplace for all employees, including those in the Quantitative Research Developer role. We strive to ensure that everyone is valued, heard, and engaged. Our commitment to diversity means providing equal opportunities for collaboration, contribution, and professional growth, allowing each team member to thrive in their role.

When answering this question, it’s vital to highlight specific projects or systems you've developed using C++ and Python. Discuss the complexities involved in those projects and how your coding skills directly contributed to success. Mention how you applied these languages to real-world financial data and trading applications, showcasing your proficiency and innovation.

In your response, you should outline the steps you take to design effective simulation frameworks. Discuss how you prioritize accuracy, speed, and the ability to adjust parameters. Give examples of past experiences where your frameworks led to meaningful insights in trading strategies via backtesting execution approaches.

Focus on your analytical techniques and tools used in analyzing time series data. Elaborate on methodologies such as moving averages, ARIMA models, or statistical tests to identify trends and patterns. Explain how these analyses have impacted your previous trading ideas, leading to more informed decision-making.

Discuss your communication style and collaborative approach. Emphasize the importance of brainstorming sessions and open dialogue within teams. Highlight any successful joint projects that resulted from these collaborations, showcasing your ability to integrate diverse insights into cohesive trading strategies.

Your answer should touch on various factors, including technical stability, data integrity, and performance metrics. Discuss the importance of scalability and adaptability when maintaining trading systems, ensuring they can effectively respond to dynamic market conditions.

Share a specific instance where you encountered a significant technical challenge. Describe the problem, your thought process in tackling it, and the ultimate solution. This demonstrates your critical thinking, problem-solving skills, and determination as a developer.

Discuss your familiarity with various tools such as SQL databases, Python libraries (like Pandas), and data processing frameworks. Explain how you choose the right tools based on project needs, emphasizing your ability to handle and analyze large volumes of data effectively.

Discuss best practices in coding such as writing clean, modular code, and performing regular code reviews. Describe your strategies for optimizing performance, maintaining thorough documentation, and implementing version control. This insight reflects your professionalism and attention to detail.

In your answer, emphasize the importance of feedback in professional growth. Illustrate your openness to constructive criticism and how you incorporate suggestions into your work process. Share an example of how feedback has improved a project or personal development in your role as a developer.

This is your chance to express your enthusiasm for the position. Speak about SCM's commitment to innovation, diversity, and the exciting challenges that come with developing trading algorithms. Highlight how your personal values align with the company's culture and mission.