Data and Analytics Intern

As a Data and Analytics Intern at Trillium, you'll gather and analyze trading data to identify correlations that impact profit and loss. You'll also conduct data reviews, develop analytic reports, and support risk management practices with historical data. Communication is key, as you'll need to present your findings to both technical and non-technical audiences.

To be considered for the Data and Analytics Intern position at Trillium, you must be a current undergraduate student with at least a 3.5 GPA, and have technical skills including MySQL, R or Python, Git, and Excel. A familiarity with R Shiny or Dash is also needed, along with understanding cloud-based data environments, particularly AWS.

Key skills for the Data and Analytics Intern role at Trillium include strong analytical abilities, a proactive nature, and a genuine interest in financial markets. Additionally, a problem-solving mindset, the ability to work under pressure, and a curiosity about AI models are advantageous. Experience with statistical analysis will also be beneficial.

As a Data and Analytics Intern at Trillium, you can expect a competitive hourly wage of $25, access to a Bloomberg Terminal, and many fun perks like complimentary meals and exciting outings. Moreover, you'll gain invaluable experience and insights from senior management throughout your internship.

To apply for the Data and Analytics Intern position at Trillium, please visit our careers page and submit your resume along with a cover letter detailing your interest and qualifications. If you require special assistance during the application process, feel free to reach out via email.

When responding to your MySQL experience in an interview for the Data and Analytics Intern role at Trillium, illustrate how you've used MySQL to retrieve or manipulate data. Share examples of specific queries you’ve written and how they contributed to projects or analyses in your coursework or past experiences.

For this question, outline your analytical process from data collection to interpretation. Discuss how you would compile data, identify trends, and summarize insights into clear, actionable reports that align with trading strategies at Trillium, showcasing your critical thinking and problem-solving skills.

When answering this question, detail specific statistical models you’ve studied or employed, such as regression analysis or time series forecasting. Explain how these models can be utilized to analyze trading data and predict market behavior, highlighting your theoretical knowledge and practical application.

Convey your enthusiasm for the role by discussing your passion for data analysis and interest in the finance sector. Mention how Trillium’s innovative approach and collaborative culture resonate with your career goals and desire to learn from experienced traders and analysts.

Use the STAR method (Situation, Task, Action, Result) to structure your response. Focus on a specific example where team dynamics or project difficulties arose and explain how you contributed to overcoming these challenges, demonstrating your teamwork and problem-solving abilities.

Discuss the various tools you’re proficient with, such as R, Python, or Excel. Provide examples of projects where you've utilized these tools, emphasizing your ability to analyze data, create visualizations, or develop predictive models relevant to the Data and Analytics Intern role at Trillium.

When approaching this question, highlight your time management skills. Provide examples of how you prioritize tasks, maintain focus, and deliver quality work under tight deadlines, showcasing your ability to thrive in a fast-paced trading environment at Trillium.

Share what fascinates you about financial markets, pointing to recent trends or phenomena that have captured your attention. Discuss how your interests align with Trillium's work in proprietary trading and how this motivates you to contribute positively.

When addressing this query, select a project that highlights your analytical skills and ability to communicate findings. Describe the project’s objective, your analytical methods, and the outcome, showcasing how it relates to the responsibilities of the Data and Analytics Intern position.

In your response, provide a brief overview of your experience with R Shiny or Dash. Discuss any projects where you utilized these web frameworks to create data visualizations or applications, and illustrate how this experience will benefit your role at Trillium.