Hudson River Trading

Software Engineer

Software EngineerL2Medium

This interview process is for a Software Engineer (L2) role at Hudson River Trading. It is designed to assess a candidate's technical proficiency, problem-solving skills, and cultural fit within the firm.

Rounds

3

Timeline

~14 days

Experience

2 - 5 yrs

Salary Range

US$110000 - US$150000

Total Duration

135 min

Overall Evaluation Criteria

Technical Skills

Problem-solving ability
Algorithmic knowledge
Coding proficiency
System design capabilities
Communication skills
Cultural fit

Communication

Ability to articulate thought process
Clarity of explanations
Responsiveness to feedback

Behavioral and Cultural Fit

Enthusiasm for trading and finance
Teamwork and collaboration
Adaptability and learning agility

Preparation Tips

1Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, sorting, searching).
2Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
3Study system design concepts, including scalability, reliability, and performance.
4Understand common operating system concepts (processes, threads, memory management).
5Brush up on your chosen programming language (C++, Java, Python) and its standard libraries.
6Prepare to discuss past projects in detail, focusing on your contributions and technical challenges.
7Research Hudson River Trading and the financial industry to understand our business and culture.
8Practice explaining your thought process clearly and concisely.

Study Plan

1

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms Fundamentals. Practice 2-3 problems/day.

Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, hash maps, trees, heaps) and basic algorithms (sorting, searching, recursion, dynamic programming). Practice implementing these from scratch and analyze their time and space complexity. Aim for 2-3 problems per day.

2

Advanced Algorithms and System Design

Weeks 3-4: Advanced Algorithms & System Design Intro. Practice medium problems. Study system design basics.

Weeks 3-4: Dive into more advanced algorithms (graph algorithms, dynamic programming, greedy algorithms) and problem-solving techniques. Start practicing medium-difficulty problems on platforms like LeetCode. Begin exploring system design concepts like load balancing, caching, and database choices.

3

System Design and Behavioral Preparation

Weeks 5-6: System Design (Trading Focus) & Behavioral Prep. Review OS concepts.

Weeks 5-6: Focus on system design problems relevant to trading (e.g., designing a stock ticker, a trading engine). Practice behavioral questions and prepare to discuss your resume projects in depth. Review operating system concepts and concurrency.

4

Mock Interviews and Final Review

Week 7: Mock Interviews & Weak Area Review.

Week 7: Mock interviews, focusing on both technical and behavioral aspects. Refine your explanations and practice articulating your thought process under pressure. Review any weak areas identified during practice.

Commonly Asked Questions

Given an array of integers, find the contiguous subarray with the largest sum.
Design a URL shortening service.
Explain the difference between a process and a thread.
How would you implement a Least Recently Used (LRU) cache?
Describe a time you had a conflict with a teammate and how you resolved it.
What are the challenges of building a distributed system?
Write a function to reverse a linked list.
How do you ensure the performance of your code?
Tell me about a project you are particularly proud of.

Location-Based Differences

New York

Interview Focus

Emphasis on distributed systems and low-latency solutions.Understanding of financial market data and its processing.Experience with C++ or Java in a performance-critical environment.

Common Questions

Discuss a challenging technical problem you solved in a distributed system.

How would you design a system to handle real-time stock price updates for a large number of users?

Explain the trade-offs between different database technologies for high-frequency trading data.

Tips

Be prepared to discuss your experience with high-frequency trading systems or similar low-latency applications.
Familiarize yourself with common financial data structures and protocols.
Highlight any experience with performance optimization in C++ or Java.

Chicago

Interview Focus

Strong emphasis on core computer science fundamentals.Problem-solving and algorithmic thinking.Code quality and maintainability.

Common Questions

Describe a project where you optimized code for performance.

How do you approach debugging complex issues in a production environment?

What are your thoughts on functional programming paradigms and their application in trading systems?

Tips

Brush up on data structures and algorithms, especially those relevant to competitive programming.
Be ready to write clean, efficient, and well-tested code on a whiteboard or shared editor.
Demonstrate a solid understanding of software development best practices.

Process Timeline

1
Technical Screening45m
2
System Design Interview60m
3
Behavioral and Managerial Interview30m

Interview Rounds

3-step process with detailed breakdown for each round

1

Technical Screening

Coding round focusing on data structures and algorithms. Expect 1-2 problems.

Technical Screening (Coding)Medium
45 minSoftware Engineer

This is the initial technical screening round, typically conducted via video call. The interviewer will present one or two coding problems, often focusing on data structures and algorithms. You'll be expected to write code in a shared editor or on a whiteboard and explain your approach as you go. The focus is on your problem-solving skills and ability to implement efficient solutions.

What Interviewers Look For

Solid understanding of data structures and algorithms.Ability to translate a problem into working code.Clear communication of thought process.Attention to detail in coding.

Evaluation Criteria

Correctness of the solution
Efficiency of the solution (time and space complexity)
Code clarity and style
Ability to communicate the approach

Questions Asked

Given a binary tree, invert the tree.

Data StructuresAlgorithmsTreesRecursion

Find the kth smallest element in a sorted matrix.

Data StructuresAlgorithmsArraysBinary Search

Preparation Tips

1Practice coding problems on platforms like LeetCode (Easy/Medium).
2Be comfortable explaining your code and its complexity.
3Prepare to talk through your approach before writing code.

Common Reasons for Rejection

Inability to solve basic algorithmic problems.
Poor coding style or syntax errors.
Inability to explain thought process.
Lack of fundamental computer science knowledge.
2

System Design Interview

Design a scalable system. Focus on components, data flow, and trade-offs.

System DesignHard
60 minSenior Software Engineer / Architect

This round assesses your ability to design and scale software systems. You'll be given an open-ended problem (e.g., 'Design Twitter', 'Design a ride-sharing service') and expected to discuss various components, data models, APIs, and trade-offs. The interviewer will probe your design choices and challenge your assumptions.

What Interviewers Look For

Ability to design complex systems from scratch.Understanding of distributed systems principles.Knowledge of databases, caching, and messaging queues.Ability to handle ambiguity and make reasoned decisions.

Evaluation Criteria

Scalability of the design
Reliability and fault tolerance
Performance considerations
Clarity and justification of design choices
Understanding of trade-offs

Questions Asked

Design a system to track the real-time location of delivery trucks.

System DesignScalabilityDatabasesAPIs

Design a rate limiter for an API.

System DesignConcurrencyAlgorithms

Preparation Tips

1Study common system design patterns and concepts.
2Practice designing systems for scalability and high availability.
3Be prepared to discuss databases, caching strategies, load balancing, and APIs.

Common Reasons for Rejection

Inability to design scalable and robust systems.
Lack of understanding of trade-offs in system design.
Poor communication of design choices.
Not considering edge cases or failure scenarios.
3

Behavioral and Managerial Interview

Behavioral questions to assess teamwork, problem-solving, and cultural fit.

Behavioral InterviewMedium
30 minHiring Manager / Team Lead

This round focuses on your behavioral and soft skills. You'll be asked questions about your past experiences, how you handle specific situations (e.g., conflicts, failures, successes), and your motivations. The goal is to understand how you work, collaborate, and fit into the team and company culture.

What Interviewers Look For

How you handle challenges and setbacks.Your ability to work in a team.Your passion for technology and the financial industry.Alignment with company values.

Evaluation Criteria

Communication clarity
Problem-solving approach
Teamwork and collaboration skills
Motivation and interest
Cultural fit

Questions Asked

Tell me about a time you failed. What did you learn from it?

BehavioralResilienceLearning

Describe a challenging project you worked on and your role in it.

BehavioralTechnicalProject Management

How do you stay updated with new technologies?

BehavioralLearningCuriosity

Preparation Tips

1Prepare examples using the STAR method (Situation, Task, Action, Result).
2Think about your strengths and weaknesses.
3Be ready to discuss why you are interested in Hudson River Trading.

Common Reasons for Rejection

Poor communication skills.
Lack of enthusiasm or interest in the role/company.
Inability to provide specific examples for behavioral questions.
Mismatch with company culture or values.

Commonly Asked DSA Questions

Frequently asked coding questions at Hudson River Trading

View all
Remove CommentsMEDIUMConvert Integer to the Sum of Two No-Zero IntegersEASYMaximum 69 NumberEASYNumber of Steps to Reduce a Number to ZeroEASYDetect Pattern of Length M Repeated K or More TimesEASYLongest Path With Different Adjacent CharactersHARDMaximum Total Importance of RoadsMEDIUMAdd Edges to Make Degrees of All Nodes EvenHARDMaximum Score From Grid OperationsHARD