FactSet

Software Engineer

Software EngineerSoftware Engineer IMedium

FactSet's Software Engineer I interview process is designed to assess a candidate's foundational technical skills, problem-solving abilities, and cultural fit within the company. The process typically involves multiple rounds, starting with an initial HR screening, followed by technical interviews focusing on data structures, algorithms, and coding proficiency, and concluding with a behavioral or managerial interview to evaluate soft skills and team collaboration potential.

Rounds

3

Timeline

~14 days

Experience

0 - 2 yrs

Salary Range

US$75000 - US$95000

Total Duration

120 min


Overall Evaluation Criteria

Technical Skills

Problem-solving approach
Coding proficiency
Algorithmic thinking
Data structure knowledge
Code clarity and efficiency

Communication

Communication clarity
Active listening
Ability to articulate thoughts
Enthusiasm and engagement

Behavioral and Cultural Fit

Teamwork and collaboration
Adaptability
Learning agility
Cultural fit
Motivation and drive

Preparation Tips

1Review fundamental computer science concepts, including data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
2Practice coding problems regularly, focusing on understanding the problem, devising a solution, and writing clean, efficient code.
3Prepare for behavioral questions by reflecting on past experiences and using the STAR method (Situation, Task, Action, Result) to structure your answers.
4Research FactSet's company culture, values, and recent news to demonstrate your interest and understanding.
5Prepare thoughtful questions to ask the interviewer, showing your engagement and curiosity.
6Understand the basics of object-oriented programming (OOP) principles.
7Familiarize yourself with common software development methodologies like Agile.

Study Plan

1

Data Structures and Complexity

Weeks 1-2: Data Structures (Arrays, Linked Lists, Stacks, Queues, Hash Maps) & Complexity Analysis.

Weeks 1-2: Focus on core data structures like arrays, linked lists, stacks, queues, and hash maps. Practice implementing them and solving problems involving their efficient use. Understand time and space complexity analysis (Big O notation).

2

Algorithms and Problem Solving

Weeks 3-4: Algorithms (Sorting, Searching, Recursion, Graph Traversal) & Problem Solving.

Weeks 3-4: Dive into algorithms, including sorting (bubble sort, merge sort, quicksort), searching (binary search), recursion, and basic graph traversal (BFS, DFS). Practice problems that require applying these algorithms.

3

Behavioral Preparation and Company Research

Week 5: Behavioral Questions (STAR Method) & Company Research.

Week 5: Prepare for behavioral questions. Think about common scenarios related to teamwork, challenges, failures, and successes. Use the STAR method to craft compelling answers. Research FactSet's values and mission.

4

Mock Interviews and Final Review

Week 6: Mock Interviews & Final Review.

Week 6: Mock interviews. Practice coding problems under timed conditions and simulate the interview environment. Get feedback on your technical explanations and behavioral responses.


Commonly Asked Questions

Write a function to reverse a linked list.
Given an array of integers, find the two numbers that add up to a specific target.
Explain the difference between a stack and a queue.
How would you design a system to shorten URLs?
Tell me about a time you had to debug a difficult issue.
Describe your experience with version control systems like Git.
What are the principles of object-oriented programming?
How do you handle conflicting priorities?
Why are you interested in this role at FactSet?
What are your strengths and weaknesses as a software engineer?

Location-Based Differences

New York

Interview Focus

Adaptability to different work environments.Understanding of local market trends and expectations.Communication style and cultural nuances.

Common Questions

Tell me about a challenging project you worked on.

How do you handle tight deadlines?

Describe a time you disagreed with a teammate. How did you resolve it?

What are your strengths and weaknesses?

Why are you interested in FactSet?

Tips

Research FactSet's presence and impact in this specific region.
Be prepared to discuss how your skills align with the local team's needs.
Showcase your ability to collaborate effectively in a diverse team setting.

London

Interview Focus

Technical problem-solving skills.Proficiency in core programming languages.Understanding of software development lifecycle.

Common Questions

Describe a time you had to learn a new technology quickly.

How do you approach debugging complex issues?

What are your career aspirations?

Tell me about a time you failed and what you learned from it.

What do you know about FactSet's products and services?

Tips

Brush up on fundamental data structures and algorithms.
Practice coding problems on platforms like LeetCode or HackerRank.
Be ready to explain your thought process clearly and concisely.

Mumbai

Interview Focus

Initiative and proactiveness.Teamwork and collaboration.Alignment with FactSet's values and mission.

Common Questions

How do you stay updated with the latest technology trends?

Describe a situation where you had to influence others.

What motivates you in a work environment?

Tell me about a time you went above and beyond.

What are your salary expectations?

Tips

Highlight projects where you demonstrated leadership or initiative.
Emphasize your ability to work effectively in a team.
Research FactSet's company culture and values.

Process Timeline

0
HR Screening30m
1
Data Structures and Algorithms45m
2
Behavioral and Managerial Fit45m

Interview Rounds

3-step process with detailed breakdown for each round

0

HR Screening

Initial screening to assess background, motivation, and cultural fit.

HR/Recruiter ScreenMedium
30 minHiring Manager / Recruiter

This initial screening is conducted by HR or a recruiter to understand your background, motivation for applying, and basic fit with the company culture. They will ask about your resume, career goals, and why you are interested in FactSet. This is also an opportunity for you to ask initial questions about the role and the company.

What Interviewers Look For

Clear and concise communication.Ability to articulate past experiences effectively.Understanding of software development best practices.Genuine interest in FactSet and the role.

Evaluation Criteria

Communication skills
Problem-solving approach
Understanding of software development lifecycle
Enthusiasm and motivation

Questions Asked

Tell me about yourself and your background.

BehavioralIntroduction

Why are you interested in this Software Engineer role at FactSet?

BehavioralMotivation

What are your strengths and weaknesses?

BehavioralSelf-Awareness

What do you know about FactSet?

Company ResearchMotivation

Preparation Tips

1Review your resume and be prepared to discuss your experience in detail.
2Research FactSet's mission, values, and products.
3Prepare answers to common behavioral questions.
4Formulate questions to ask the interviewer about the role and company culture.

Common Reasons for Rejection

Lack of clarity in explaining past projects.
Inability to connect past experiences to the role requirements.
Poor communication or interpersonal skills.
Lack of enthusiasm or interest in the company.
1

Data Structures and Algorithms

Coding challenge focusing on data structures and algorithms.

Technical Interview (Coding)Medium
45 minSoftware Engineer / Senior Software Engineer

This round focuses on assessing your core technical skills. You will be asked to solve coding problems that test your knowledge of data structures and algorithms. The interviewer will evaluate your ability to analyze a problem, devise an efficient solution, write clean code, and explain your reasoning. Expect questions on arrays, linked lists, trees, graphs, sorting, searching, and complexity analysis.

What Interviewers Look For

A systematic approach to problem-solving.Clean and efficient code.Correct implementation of data structures and algorithms.Ability to explain their thought process clearly.

Evaluation Criteria

Problem-solving skills
Coding ability
Understanding of data structures and algorithms
Logical thinking

Questions Asked

Given an array of integers, return indices of the two numbers such that they add up to a specific target.

ArrayHash MapTwo Pointers

Implement a function to check if a binary tree is a Binary Search Tree (BST).

TreeRecursionBinary Search Tree

Find the kth smallest element in an unsorted array.

ArraySortingHeap

Preparation Tips

1Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
2Review common data structures and algorithms.
3Understand time and space complexity (Big O notation).
4Practice explaining your thought process out loud.

Common Reasons for Rejection

Inability to articulate thought process.
Poor understanding of fundamental data structures.
Inefficient or incorrect code.
Lack of problem-solving approach.
2

Behavioral and Managerial Fit

Assesses behavioral competencies, teamwork, and cultural fit.

Behavioral / Managerial InterviewMedium
45 minHiring Manager / Senior Team Member

This round typically involves the hiring manager or a senior team member. It focuses on your behavioral competencies, teamwork, and how you handle various workplace situations. You'll be asked questions about your past experiences, how you collaborate, handle challenges, and your overall approach to work. This is also an opportunity to understand the team dynamics and expectations.

What Interviewers Look For

Ability to work effectively with others.Openness to feedback and constructive criticism.Alignment with FactSet's core values.Proactive and positive attitude.

Evaluation Criteria

Teamwork and collaboration
Communication skills
Problem-solving approach
Cultural fit
Adaptability

Questions Asked

Describe a time you had a conflict with a team member. How did you resolve it?

BehavioralTeamworkConflict Resolution

Tell me about a challenging project you worked on and how you overcame obstacles.

BehavioralProblem SolvingProject Management

How do you prioritize your work when you have multiple tasks with competing deadlines?

BehavioralTime ManagementPrioritization

What are your long-term career goals?

BehavioralCareer Goals

Preparation Tips

1Prepare examples using the STAR method for behavioral questions.
2Think about situations where you demonstrated teamwork, leadership, and problem-solving.
3Be ready to discuss your career goals and how this role fits into them.
4Show enthusiasm for the team and the company's mission.

Common Reasons for Rejection

Lack of collaborative spirit.
Difficulty working in a team environment.
Poor handling of feedback.
Misalignment with company values.

Commonly Asked DSA Questions

Frequently asked coding questions at FactSet

View all