Currently we don’t have any open vacancies, but if you’re interested you can send your CV to: info@skanestas.com

Open vacancies

• Trader

• Full-stack Python Developer 

• Data Scientist (Quantitative Analyst)

Trader

MAIN DUTIES AND RESPONSIBILITIES:

  • Execution of clients ’orders in multiple asset classes: derivatives, listed options, equities, fixed income, FX, money market instruments, repo.
  • Day to day monitoring of trading platforms and clients’ exposures/accounts.
  • Liaising with other relevant departments, particularly with middle and back office in relation to pre-trade and post-trade activities and obligations. Providing assistance and necessary guidance where needed.
  • Application of operational procedures and ensuring compliance with all internal processes and controls of the department.
  • Responding to client’s queries and ad hoc requests.
  • Supervising staff in the department and evaluating their performance.
  • Preparation of relevant internal reports as requested by the senior management.
  • Developing and improving operation of the department in terms of its trading infrastructure and relationships with counterparties and brokers, as well as enhancing internal procedures and processes.

CANDIDATE PROFILE:

  • University degree in Finance, Economics or any other relevant field.
  • 3-10 years of relevant working experience in similar role at a financial institution.
  • CySEC Certificate (Advanced or Basic).
  • Good knowledge and experience in using different trading platforms such as CQG, IB, Bloomberg Terminal.
  • Fluency in English and Russian languages – both verbal and written. Greek is an advantage.
  • Be able to provide previous trading statements.

COMPANY BENEFITS:

  • 21 days of annual leave;
  • Remuneration package will depend on the skills and expertise of the candidate;
  • Performance-based bonuses;
  • Salary indexation;
  • Corporate outings;
  • Private Medical Insurance for all family members;
  • Free parking;
  • CySEC Exams & training before exams;
  • Contribution to employees’ training & development;
  • Free drinks, fruits, vegetables, sweets in the office;
  • Language Courses;
  • Relocation package for the family and visa support.

If you’re interested, please send your CV to hh@skanestas.com

Full-stack Python Developer Middle +

 

MAIN DUTIES AND RESPONSIBILITIES:

  • Development of assistant systems for traders (alerts, web dashboards),
  • Creation and monitoring of automated exchange algorithms,
  • Creating stock data loaders,
  • Creation and maintenance of a central data warehouse (PostgreSQL, Clickhouse),
  • Maintaining the integrity and quality of data in storage.

CANDIDATE PROFILE:

  • At least 3 years experience in Python 3 development,
  • Have the skill to write structural tests and testable code,
  • Knowledge of multithreading and asynchronous programming,
  • Experience with third-party API integrations, REST, sockets, web sockets,
  • Knowledge of patterns of distributed systems (microservice architecture, message queues, use of relational and key-value databases),
  • Experience with one of the web frameworks (Flask, FastAPI),
  • Knowledge of Linux at the level of basic administration, writing bash scripts,
  • Experience with docker, docker-compose,
  • Experience with Git or similar systems,
  • Understanding of CI/CD principles and release management.

COMPANY BENEFITS:

  • 21 days of annual leave;
  • Remuneration package will depend on the skills and expertise of the candidate;
  • Performance-based bonuses;
  • Salary indexation;
  • Corporate outings;
  • Private Medical Insurance for all family members;
  • Free parking;
  • CySEC Exams & training before exams;
  • Contribution to employees’ training & development;
  • Free drinks, fruits, vegetables, sweets in the office;
  • Language Courses;
  • Relocation package for the family and visa support.

If you’re interested, please send your CV to hh@skanestas.com

Data Scientist (Quantitative Analyst)

A Quantitative Analyst is needed for the full-time position in Limassol, Cyprus at traditional broker/Investment Company (non-forex).

MAIN DUTIES AND RESPONSIBILITIES:

  • Higher education in statistics, mathematics or computer science
  • From 2 years of practical experience in the position of Quantitative Analyst / Data Scientist. The presence of real cases in the portfolio – working with big data and their practical application
  • Strong knowledge in statistics, calculus, linear algebra, probability theory, machine learning
  • Knowledge of the Python programming language at the Middle + and higher level (advanced knowledge of libraries is required: numpy, pandas, skipy, statsmodels, one of the ML libraries – sklearn, tensorflow, keras, pytorch)
  • Object Oriented Programming – Advanced
  • Working with API (socket, get / rest requests)
  • Tuning the code in terms of maximizing the speed of work (multithreading, lambda expressions, etc., redistribution of the computational load of the CPU – GPU)
  • Database administration, confident knowledge of PostgeSQL, advanced knowledge of the T-SQL language (writing complex queries, procedures, triggers)
  • Knowledge of MATLAB, R, C ++ languages ​​will be an advantage
  • Good communication skills in English (written and oral). Knowledge of the Russian language is a plus
  • Experience with Bloomberg / CQG / TWS terminals is a plus

CANDIDATE PROFILE:

  • Creation of complex trading algorithms, statistical models
  • Conducting in-depth analysis of data in order to identify patterns for use in real exchange trading
  • Working with databases: filling, error control, optimization, backup
  • Working with API of various software products and resources
  • Writing desktop applications for data management tasks, visualization of algorithms, notification systems, etc.
  • Generation of ideas in the direction of the development of all systems, participation in brainstorming

COMPANY BENEFITS:

  • The company offers its employees assistance in moving to Cyprus (assistance in finding accommodation, obtaining a visa, etc.)
  • Competitive remuneration package
  • Free medical insurance
  • Comfortable office, advanced hardware and software
  • Friendly team

If you’re interested please send your CV to hh@skanestas.com

CONTACT US

Phone: (+357) 25 212 293
Fax: (+357) 25 253 640
Email: info@skanestas.com

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