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·~14d
Experience·2 - 5 yrs
Comp band·US$110000 - US$150000
Interview time·135 min
Evaluation
What they measure.
Problem-solving ability
Algorithmic knowledge
Coding proficiency
System design capabilities
Communication skills
Cultural fit
Ability to articulate thought process
Clarity of explanations
Responsiveness to feedback
Enthusiasm for trading and finance
Teamwork and collaboration
Adaptability and learning agility
Preparation
How to prepare.
Tips
01Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, sorting, searching).
02Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
03Study system design concepts, including scalability, reliability, and performance.
04Understand common operating system concepts (processes, threads, memory management).
05Brush up on your chosen programming language (C++, Java, Python) and its standard libraries.
06Prepare to discuss past projects in detail, focusing on your contributions and technical challenges.
07Research Hudson River Trading and the financial industry to understand our business and culture.
08Practice explaining your thought process clearly and concisely.
Study plan
Fig · Study plan — 04 phases
01 / 04
01
Phase 01 of 04
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.
02
Phase 02 of 04
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.
03
Phase 03 of 04
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.
04
Phase 04 of 04
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.
Questions
Commonly asked.
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.
Locations
Regional differences.
Fig · Regions — 02 locations
01 / 02
Location
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.
Location
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.
Rounds
Round-by-round.
Expand a step for evaluation criteria, sample questions, and prep notes.
Med
Technical Screening (Coding) · 45 min · Software 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 they 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
Correctness of the solution
Efficiency of the solution (time and space complexity)
Code clarity and style
Ability to communicate the approach
Sample questions
Given a binary tree, invert the tree.
Data StructuresAlgorithmsTreesRecursion
Find the kth smallest element in a sorted matrix.
Data StructuresAlgorithmsArraysBinary Search
Prep for this round
01Practice coding problems on platforms like LeetCode (Easy/Medium).
02Be comfortable explaining your code and its complexity.
03Prepare to talk through your approach before writing code.
Common rejection reasons
×Inability to solve basic algorithmic problems.
×Poor coding style or syntax errors.
×Inability to explain thought process.
×Lack of fundamental computer science knowledge.
Hard
System Design · 60 min · Senior 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 they 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
Scalability of the design
Reliability and fault tolerance
Performance considerations
Clarity and justification of design choices
Understanding of trade-offs
Sample questions
Design a system to track the real-time location of delivery trucks.
System DesignScalabilityDatabasesAPIs
Design a rate limiter for an API.
System DesignConcurrencyAlgorithms
Prep for this round
01Study common system design patterns and concepts.
02Practice designing systems for scalability and high availability.
03Be prepared to discuss databases, caching strategies, load balancing, and APIs.
Common rejection reasons
×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.
Med
Behavioral Interview · 30 min · Hiring 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 they 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
Communication clarity
Problem-solving approach
Teamwork and collaboration skills
Motivation and interest
Cultural fit
Sample questions
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
Prep for this round
01Prepare examples using the STAR method (Situation, Task, Action, Result).
02Think about your strengths and weaknesses.
03Be ready to discuss why you are interested in Hudson River Trading.
Common rejection reasons
×Poor communication skills.
×Lack of enthusiasm or interest in the role/company.
×Inability to provide specific examples for behavioral questions.