Open vacancies
Quantitative Analyst
MAIN DUTIES AND RESPONSIBILITIES:
- Key requirement: ability to launch profitable trading strategy that includes, but not limits to the following:
- Testing and implementing of trading/statistical models, algorithms and signals in an active trading environment;
- Conducting research and statistical analysis in order to build and refine trading systems;
- Performing in-depth analysis and research of various market inefficiencies. Carrying out data mining and in-depth statistical analysis of data;
- Providing results in the form of reports and presentations accompanied by tables and visual aids to team members;
- Work and participate in team research projects.
CANDIDATE PROFILE
- Key requirement: experience in developing and launching systematic trading strategies for at least 2 years
- 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;
- Good knowledge of probability and statistics;
- Python/Scala programming level: Middle+ (experience related to data analysis);
- Responsibility, autonomy and proactivity;
- Portfolio with existing ideas for algotrading will be a plus and an advantage for selection.
COMPANY BENEFITS:
- 21 days of annual leave;
- Remuneration package will depend on the skills and expertise of the candidate (15,000+ EUR net monthly, based on the results);
- 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 Engineer – Market Data
MAIN DUTIES AND RESPONSIBILITIES:
- Design and implement efficient, scalable data ingestion pipelines from diverse sources using Python, with an option to use Golang, Rust, or Scala;
- Collaborate with quantitative analysts to understand and implement database requirements;
- Develop, construct, test and maintain architectures, such as databases and large-scale data processing systems;
- Work with data and analytics experts to strive for greater functionality in our data systems;
- Continuously evaluate new technologies to improve and extend the platform capabilities;
- Ensure data accuracy and integrity through high-quality coding and testing procedures;
- Design and implement data tools for analytics and data scientist team members to assist them in building and optimizing our product.
CANDIDATE PROFILE
- BS/MS degree in Computer Science, Engineering, or a related subject
- Strong proficiency with Python; experience with Golang, Rust, or Scala a plus;
- Proven working experience as a Data Engineer;
- Experience with big data tools: Hadoop, Spark, Kafka, etc.;
- Experience with relational SQL and NoSQL databases;
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.;
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.;
- Strong problem solving and analytical skills;
- Excellent written and verbal communication skills.
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
DevOps engineer
MAIN DUTIES AND RESPONSIBILITIES:
- Administration of Linux servers (virtual / physical):
- Administration of internal services (Gitlab, Airflow, Superset, Kafka, Redis);
- Database Administration (Clickhouse, Postgres);
- Design and implement efficient, scalable data ingestion pipelines from diverse sources using Python, with an option to use Golang, Rust, or Scala;
- Develop, construct, test and maintain architectures, such as databases and large-scale data processing systems;
- Ensure data accuracy and integrity through high-quality coding and testing procedures;
- Collaborate with quantitative analysts to understand and implement database requirements;
- Design and implement data tools for analytics and data scientist team members to assist them in building and optimizing our product;
- Work with data and analytics experts to strive for greater functionality in our data systems;
- Continuously evaluate new technologies to improve and extend the platform capabilities;
- Setting up and monitoring backups.
CANDIDATE PROFILE
- BS/MS degree in Computer Science, Engineering, or a related subject;
- Prior experience as a DevOps or in a similar position;
- Solid experience in Linux administration, writing bash scripts;
- Experience with big data tools: Hadoop, Spark, Kafka, etc.;
- Knowledge of DB administration (PostgreSQL, Clickhouse), SQL;
- Strong proficiency with Python; experience with Golang, Rust, or Scala a plus;
- Experience with docker, docker-compose, Kubernetes, cloud providers;
- Understanding of CI/CD principles and release management;
- Willingness to travel for business;
- Installing and configuring software, hardware and networks;
- Monitoring system performance and troubleshooting issues;
- Ensuring security and efficiency of IT infrastructure;
- Ability to work under pressure and to tight deadlines.
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 in the office;
- Relocation package for the family and visa support.
If you’re interested please send your CV to hh@skanestas.com
Head of Compliance/Regulatory Compliance Officer
MAIN DUTIES AND RESPONSIBILITIES:
- Attend to overall regulatory compliance issues, ensure the Company is fully compliant with all applicable laws and regulations;
- Work on policies and procedures: update the existing ones, create new ones, make sure compliance with the policies and procedures is full, all processes are well-implemented operationally, well monitored and well-recorded (the process itself and the results of monitoring);
- Advise the Company (the relevant departments, the Board or the Senior Management) on the compliance status of certain areas, processes or topics, raise flags and provide advise and assistance if corrective measures are needed, implement the suggested changes and measures;
- Handle any Regulatory compliance enquiries received from the National Competent Authority, senior management, counterparties, or clients;
- Contribute to improvements in Regulatory Reporting Systems’ / proactivity for automation of process/procedure efficiency;
- Engage in transaction monitoring, including best execution, personal translations, and anti-market abuse monitoring and such other monitoring as regulatory compliance may require.
- Fulfill other related duties as required by Law L. 87(Ι)/2017 and company policies.
CANDIDATE PROFILE
- A minimum of 5 years’ experience in a similar position in regulatorycompliance in an investment services field;
- Proficiency in financial instruments, including transferable securities, derivatives, and an understanding of concepts such as repurchase transactions, collateral arrangements, and clearing;
- In-depth knowledge of MiFID II and European regulatory reporting requirements, covering areas like best execution, order handling, market manipulation, product governance, and suitability;
- CySEC Advanced Certificate (a must);
- Fluency in Russian (an advantage) and English (a must) at a professional level.
COMPANY BENEFITS:
- 21 days of annual leave;
- Remuneration package will depend on the skills and expertise of the candidate;
- Salary indexation;
- Corporate outings;
- Private Medical Insurance for all family members;
- Free parking;
- Contribution to employees’ training & development;
- Free drinks, fruits, vegetables in the office.
If you’re interested please send your CV to hh@skanestas.com
