Quantitative Analyst

Visa Sponsorship Relocation
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AI Summary

Join Skanestas Investments Limited as a Quantitative Analyst to contribute to the development of trading algorithms, conduct in-depth research, and collaborate with the team. The ideal candidate has a strong analytical background, practical experience in a Quantitative Analyst position, and proficiency in Python programming.

Key Highlights
Conduct in-depth research and quantitative analysis of market inefficiencies
Develop trading algorithms
Collaborate with the team
Technical Skills Required
Python PostgreSQL QuestDB Linux Docker Kubernetes C/C++ Numba Cython Rust
Benefits & Perks
Relocation package for the entire family and visa support
Private medical insurance for all family members
Competitive remuneration package based on skills and expertise
Performance-based bonuses
Salary indexation for inflation
21 days of annual leave
Contribution to employees' training and development
CySEC exams and training
Free drinks, fruits, and vegetables in the office
Free parking
Corporate outings

Job Description


About the job:


Join Skanestas Investments Limited, a European-licensed investment firm specializing in traditional brokerage, portfolio management services and proprietary trading. We pride ourselves on our dynamic team of experienced professionals in wealth management and compliance. As our team continues to grow, we are excited to welcome a new Quantitative Analyst to our ranks.


Your role at Skanestas:


We are seeking a Quantitative Analyst who will play a significant role in our expanding core team. The ideal candidate will collaborate effectively with team members, generate innovative ideas, rapidly test research hypotheses, and contribute to the development of trading algorithms.


You will:

·        Conduct in-depth research and quantitative analysis of market inefficiencies in live trading environments.

·        Perform data mining, data cleaning, and verification for research purposes.

·        Provide results in the form of reports and presentations, accompanied by tables and visual aids.

·        Study academic and industry literature on algorithmic trading and propose new trading strategies.

·        Participate in team research projects.

Our technology stack:


Development: Python, Numba, Cython, Rust, C/C++

Infrastructure: Linux, Docker, Kubernetes, Cloud Providers

Database: PostgreSQL, QuestDB


What makes you a great fit:

·        Higher education in statistics, mathematics, econometrics or computer science.

·        Practical experience in a Quantitative Analyst position in a fintech company for at least 3 years. Experience in an environment related to data research with real-world application in stock trading.

·        Strong analytical background and quantitative skills.

·        Good knowledge of probability and statistics.

·        Python programming level: Middle+ (experience related to data analysis).

·        Responsibility, autonomy and proactivity.

·        Experience as Financial Quantitative Analyst, or in a related role performing quantitative analysis will be a plus.

  • Native or bilingual proficiency in Russian.
  • Intermediate proficiency in English.

 

What we offer along the way:

  • Relocation package for the entire family and visa support.
  • Private medical insurance for all family members.
  • Competitive remuneration package based on skills and expertise.
  • Performance-based bonuses.
  • Salary indexation for inflation.
  • 21 days of annual leave.
  • Contribution to employees' training and development.
  • CySEC exams and training.
  • Free drinks, fruits, and vegetables in the office.
  • Free parking.
  • Corporate outings.

 

Your journey after applying:

 

  1. Initial screening interview.
  2. Solving test task.
  3. Interview for test task solution and technical interview(s).
  4. Final interview with the Company Director.


For this role, the successful candidate should be based in or willing to relocate to Cyprus. If you would like to learn about relocation opportunities to Cyprus, feel free to ask for additional information.


At Skanestas, we strive to create an open working environment where valuable ideas and improvements are encouraged. We value responsibility for our shared goals, as well as independence and proactivity in problem-solving.


Send CV's: ch.evzonas@skanestas.com p.chernov@skanestas.com


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