Jane Street

Assessment Rubric Overview for "Make 24" Interview Question

The "Make 24" problem evaluates a candidate's proficiency in algorithmic problem-solving, mathematical reasoning, and programming skills, aligning with Jane Street's emphasis on collaborative problem-solving and technical excellence.

Core Competencies and Skills Evaluated

• Algorithmic Problem-Solving: Candidates are expected to devise efficient algorithms to evaluate mathematical expressions and identify valid combinations of numbers and operations to achieve a target value.

• Mathematical Reasoning: A strong grasp of arithmetic operations, order of operations, and combinatorial logic is essential to navigate the complexities of the problem.

• Programming Proficiency: Demonstrating fluency in a programming language of choice, with a focus on writing clean, efficient, and bug-free code, is crucial.

Behavioral Traits and Problem-Solving Approaches Assessed

• Analytical Thinking: The ability to break down complex problems into manageable sub-problems and systematically explore potential solutions is key.

• Communication Skills: Clearly articulating thought processes, assumptions, and reasoning during the problem-solving process is highly valued.

• Adaptability: Being open to feedback and willing to iterate on solutions demonstrates a growth mindset and the capacity to learn from the process.

Assessment Process Expectations

During the interview, candidates can expect a collaborative and conversational approach, with interviewers focusing on understanding the problem-solving journey rather than solely the final solution. The process is designed to evaluate how candidates approach and navigate complex problems, reflecting Jane Street's commitment to assessing both technical skills and cultural fit. As one candidate noted, "The interviewers are friendly and they helped when I struggled, by giving hints or asking extra questions." (glassdoor.com)

Preparation Recommendations

• Practice Algorithmic Challenges: Engage in solving a variety of algorithmic problems to enhance problem-solving skills and familiarize oneself with different problem types.

• Strengthen Mathematical Foundations: Review fundamental concepts in arithmetic operations, combinatorics, and mathematical logic to build a solid foundation for tackling complex problems.

• Develop Programming Fluency: Work on building projects from scratch in a preferred programming language to improve coding proficiency and familiarity with language-specific nuances.

Evaluation Criteria and Technical Concepts to Master

• Algorithm Design and Optimization: Ability to design algorithms that are both correct and efficient, with considerations for time and space complexity.

• Mathematical Logic and Combinatorics: Understanding of mathematical principles that underpin the problem, including operations precedence and combinatorial enumeration.

• Code Quality and Debugging: Writing clean, maintainable code and demonstrating effective debugging skills to identify and resolve issues promptly.

Jane Street-Specific Expectations and Cultural Fit Considerations

Jane Street values candidates who exhibit a collaborative approach to problem-solving, effective communication, and a strong alignment with the company's culture of intellectual curiosity and continuous learning. Demonstrating these traits during the interview process is essential for a successful evaluation. As highlighted in a candidate's experience, "The interviewers are friendly and they helped when I struggled, by giving hints or asking extra questions." (glassdoor.com)