Flow Traders

Assessment Rubric Overview: Job Scheduling Problem

Core Competencies and Skills Evaluated

This problem evaluates a candidate's proficiency in algorithm design, particularly in the realm of load balancing and scheduling. It requires a solid understanding of mathematical optimization, discrete mathematics, and the ability to devise efficient algorithms that ensure balanced distribution across processors. Candidates should demonstrate a strong grasp of computational complexity, as the problem involves distributing tasks in a manner that minimizes the difference in workload between processors while maximizing the load on a specific processor.

Behavioral Traits and Problem-Solving Approaches Assessed

Interviewers will assess the candidate's analytical thinking, attention to detail, and capacity for systematic problem-solving. The ability to break down complex problems into manageable components and develop step-by-step solutions is crucial. Candidates should exhibit creativity in approaching optimization problems and resilience in iterating on solutions to achieve optimal outcomes. Effective communication skills are also essential, as candidates must articulate their thought processes and justify their chosen methodologies clearly.

Assessment Process Expectations

Flow Traders' interview process is known for its rigor and emphasis on technical acumen. Candidates can anticipate a multi-stage evaluation, beginning with a proctored online mental math exam to assess quantitative aptitude. This is followed by an HR interview focusing on behavioral aspects and motivation. Subsequent technical interviews delve into problem-solving abilities, with a particular focus on algorithmic challenges and their applications in trading scenarios. Final rounds may include case studies and interviews with experienced traders to assess practical application skills. (glassdoor.com)

Preparation Recommendations

To excel in this assessment, candidates should:

• Strengthen Mathematical Foundations: Regularly practice mental arithmetic and logical reasoning exercises to enhance numerical agility.

• Master Algorithmic Techniques: Focus on algorithms related to load balancing, scheduling, and optimization. Resources such as "Introduction to Algorithms" by Cormen et al. provide comprehensive coverage of these topics.

• Engage in Mock Interviews: Participate in mock interviews that simulate the technical interview environment, emphasizing problem-solving under time constraints.

• Stay Informed on Trading Concepts: Develop a foundational understanding of trading mechanisms, particularly in the context of Exchange Traded Products (ETPs), to contextualize algorithmic solutions within the trading domain.

Evaluation Criteria and Technical Concepts

Candidates will be evaluated on their ability to:

• Formulate and Implement Efficient Algorithms: Design algorithms that balance the load across processors while optimizing the workload of a specific processor.

• Analyze and Optimize Computational Complexity: Assess the time and space complexity of proposed solutions and identify opportunities for optimization.

• Apply Mathematical Optimization Techniques: Utilize principles from discrete mathematics and optimization theory to inform algorithm design.

Flow Traders-Specific Expectations and Cultural Fit Considerations

Flow Traders values candidates who exhibit a passion for technology and trading, as well as the ability to think quickly and handle pressure effectively. Demonstrating a proactive approach to problem-solving and a keen interest in financial markets will align with the company's culture. Candidates should also be prepared to showcase their adaptability and teamwork skills, as these are essential in the dynamic and collaborative environment at Flow Traders. (glassdoor.com)

By focusing on these areas, candidates can prepare effectively for the assessment, aligning their skills and experiences with Flow Traders' expectations and the specific demands of the job scheduling problem.