We are seeking a Technical Interviewer to join our dynamic recruiting team. This role is essential for evaluating the technical skills of candidates in Python programming and assessing the veracity of the technical competencies listed on their resumes. The ideal candidate will have a deep understanding of the tech talent market, particularly in software development, with exceptional abilities in evaluating and verifying technical skills.
Responsibilities
- Conduct thorough technical assessments of candidates' skills in Python programming, including coding tests, problem-solving exercises, and project evaluations.
- Work closely with recruiters and hiring managers to understand the specific technical requirements for each role.
- Develop and refine assessment criteria and methods to effectively evaluate candidates against job requirements.
- Review and verify the technical competencies listed on candidates’ resumes for accuracy and relevance.
- Provide detailed feedback and recommendations to the recruiting team to aid in the selection process.
- Stay updated on the latest trends and developments in software programming and technical recruiting.
- Participate in the continuous improvement of the assessment process and tools.
- Bachelor’s degree in Computer Science, Information Technology, or a related technical field.
- 3+ years of experience in technical roles, with at least 2 years focused on Python programming.
- Solid understanding of various software development practices and technologies.
- Experience designing and implementing effective technical assessment tools and processes.
- Excellent communication and interpersonal skills, with the ability to provide clear and constructive feedback.
- Proficiency in using technical assessment platforms and tools.
- Competitive salary with a performance-based bonus.
- Opportunity to work in a collaborative and dynamic environment.
- Comprehensive health, dental, and vision insurance fully covered for employees and dependents.
Top Skills
What We Do
Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.
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