RBC is one of the largest Canadian banks, with a presence in more than 50 countries and offices in over 100 locations. RBC offers an internship program for undergraduates, graduate students and postdocs who are interested in learning about careers at the firm. The program allows you to work on real projects with senior colleagues, while also gaining hands-on experience that can help set you apart from other applicants when applying for full-time positions after graduation. In addition to the standard internships available at most companies, RBC’s quant finance group also offers several specialized internships geared toward students looking to gain experience with mathematical modeling or data science applications.
The ScotiaBank Quantitative Analyst Program is designed to attract talented individuals who are interested in pursuing a career within the financial services industry. The program is a 12-month paid internship that offers advanced training and professional development to help prepare you for success.
Qualified candidates will have completed at least one year of university studies, including strong academic performance in mathematics, computer science or statistics courses; demonstrated interest in completing an MBA degree; and excellent communication skills. In addition to meeting these criteria, you must be able to work well under pressure with many deadlines looming on the horizon—and this requires a good deal of maturity! The program is open only to Canadian citizens or permanent residents of Canada (with proof provided)
You’re probably wondering what a td quant internship is, how to get one, and how to prepare. If so, you’ve come to the right place! We’ll go over the basics of what these internships are and how they work, as well as some helpful tips on getting one.
For those of you who may not know what a td quant internship actually is: A td quant internship is an opportunity for advanced-level students to apply their knowledge in the field of quantitative analysis (QA) at an investment firm or bank. These programs typically last between six months and one year, offer paid wages during that period and usually include housing benefits. The application process can be rigorous but also often provides valuable experience with resume building and networking opportunities.
Internships at Amazon are earned through a competitive application process that includes a coding test. The interview process consists of two rounds: an individual interview with a member of the team, followed by an HR-led panel interview. To apply, you’ll need to submit your resume and answer four questions about your interest in data science and learning experiences. The questions include:
- What is the last book you read? Why did you choose this book?
- What are some of your favorite datasets to analyze? What did you learn from them? How could those insights inform new products or features for customers to use on Amazon products (e.g., Alexa)?
- In 100 words or less, tell us what personal characteristics make up an exemplary data scientist at Amazon Web Services (AWS).
Facebook is at the forefront of AI, and it has a lot of data to work with. If you’re considering applying for an internship there, keep in mind that you will have access to a huge amount of information about people’s lives. This fact makes Facebook an ideal place for learning about how data can be used for good (and bad).
Keep in mind that everything you post on Facebook is public knowledge—it can be read by anyone who searches for your name or profile page. Because of this, it is important to think carefully before posting anything personal or controversial on your profile page. For example: If you are interested in politics but don’t want your political views shared with everyone on Facebook, consider using one social media platform just for politics and another one just for other types of content.
In the past, internship opportunities have included both quantitative and qualitative positions. Qualitative internships include data mining, business analysis and market research. Quantitative internships include algorithm design, research methodologies, data science engineering and machine learning.
If you are interested in a quant internship with Snapchat: Apply online here!
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quant internship list is as follows
- TD Bank
- Snapchat and Instagram.