Fidelity Investments is a highly reputed, privately held company that works tirelessly to enhance the financial well-being of their clients.
They offer a variety of services, ranging from investment and future planning assistance to individuals, benefits administration for companies and non-profit organizations, and investment and technology solutions for institutions and independent advisors.
They utilize technologies such as Python, Spark, Scala, R, SQL, or MatLab in their operations, demonstrating their proficiency in various programming languages.
In this guide, we’ll cover a general overview of Fidelity’s interview process, and then provide examples of common interview questions you may face across various topics.
Fidelity’s interview process is designed to evaluate a candidate’s technical knowledge, critical thinking, and cultural fit. This multi-stage process generally includes:
A few tips for interviewing at Fidelity:
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Machine Learning Engineer role pays the most with a $126,000 base salary while the Business Analyst role on average pays the least with a $72,598 base salary.
On Glassdoor, the average rating for Fidelity is 4.3 stars out of 5. 86% of reviewers would recommend working at Fidelity to their friends. 94% of reviewers approved of Fidelity’s current CEO.
At Fidelity Investments, a significant 81% of the workforce views the atmosphere as positive, with 80 staff members describing the pace as “comfortably fast.” When stacked against competitors like Edward Jones, BlackRock, UBS, Charles Schwab, and TIAA, Fidelity’s workplace environment ranks an impressive second. Moreover, when looking at similar giants with over 10,000 employees, Fidelity shines in the Top 15%. They also land in the Top 40% among 205 Boston-based companies.