Research Engineer (C++) | Quantitative Data & Studies | Experienced Hire

As a Research Engineer (C++) at Susquehanna, your primary responsibilities include managing the data pipeline for generating enriched datasets used by Equity and Futures strategies. You'll work on historical tick-by-tick data, optimize components across data generation, and ensure effective data access. Additionally, your role involves collaborating with traders and quantitative analysts, making this a highly visible and impactful position.

To qualify for the Research Engineer (C++) position at Susquehanna, you should have a MS or PhD in Computer Science, Engineering, or Mathematics, or an equivalent foreign degree. Five years of progressive experience in software and data systems development is also required. Strong C++ programming skills and familiarity with Python's data science stack are essential for success in this role.

At Susquehanna, we prioritize professional growth by providing opportunities for continual learning and development. Research Engineers (C++) are encouraged to expand their skills through workshops, collaborations, and access to advanced tools and technologies. Our team-oriented approach and close-knit environment promote mentorship and support, helping you to thrive in your career.

In the Research Engineer (C++) role at Susquehanna, you will primarily work with C++ and the Python data science stack, which includes tools like NumPy and pandas. Additionally, you will engage with numeric data storage methodologies such as hdf5, and work extensively with large datasets in a Linux environment. This breadth of technology will enhance your skills and your contributions to the team.

Alongside technical proficiency, strong interpersonal and communication skills are vital for a Research Engineer (C++) at Susquehanna. You will frequently interact with traders, quantitative analysts, and software developers, so being able to convey technical information clearly and work collaboratively in a team-oriented environment is essential for success.

When answering this question, highlight your proficiency with C++, including specific projects where you utilized the language. Discuss any complex problems you’ve solved using C++, emphasizing the skills that are relevant to the Research Engineer (C++) role at Susquehanna.

In your response, provide examples of how you have previously optimized data processing pipelines, detailing specific techniques or technologies you used. Mention metrics you tracked to measure efficiency and improvement, which would align with the functions of a Research Engineer (C++) at Susquehanna.

Discuss your familiarity with handling large datasets, focusing on types of datasets you've managed, the tools you used, and the outcomes from your work. Be specific about challenges you've faced and how you overcame them, ideally connecting your experience to the financial industry.

Choose a relevant project that showcases your technical and problem-solving skills. Describe the challenges faced and how you overcame them, emphasizing teamwork and how the Linux environment played a role in your project’s success.

Demonstrate your methodical approach to ensuring data accuracy, discussing specific strategies you use to verify data integrity, such as checksums, validation processes, or software testing techniques relevant to the responsibilities of a Research Engineer (C++) at Susquehanna.

Mention the tools and technologies you have experience with, especially Python libraries like NumPy and pandas that are likely integral to the Research Engineer (C++) role. Explain how you've utilized these tools in your previous work, focusing on analysis outcomes.

Emphasize your communication skills and teamwork experience. Speak about how you’ve effectively collaborated with other professionals to meet project goals, particularly in dealing with financial datasets where communication is key.

Refer to any coursework, previous roles, or independent study you've done on market microstructure. Discuss its significance in trading strategies and how this understanding can apply to your role as a Research Engineer (C++) at Susquehanna.

Share specific experiences you have with methodologies like hdf5, focusing on how and why you've used them, the challenges faced, and the overall impact on your data management efficiency.

Craft a response that connects your professional goals with Susquehanna’s mission, emphasizing your enthusiasm for the financial sector and how your skills and values align with the company's objectives and innovative culture.