Quantitative Researcher

We are seeking a talented Quantitative Researcher to join our dynamic international team of researchers, developers, QA specialists, analysts, and project owners based in Cyprus. In this role, you will contribute to the development and enhancement of our pricing algorithms through in-depth research and analysis.

• Design and optimize pricing algorithms, working closely with the development team for seamless implementation.
• Analyze market data, trends, and pricing strategies to enhance our pricing models.
• Develop econometric, statistical, and machine learning models to support pricing decisions.
• Formulate and test hypotheses using financial data.
• Create analytical tools to identify data patterns and insights.
• Investigate client trading behaviors and identify inefficiencies in our pricing algorithms.
• Conduct competitor pricing analyzes to ensure our offerings remain competitive.
• Find and eliminate arbitrage opportunities within our pricing offering
• Define/update trading conditions for new/existing financial instruments.

• A Bachelors, Master's or PhD degree in Mathematics and/or Statistics is a must
• Solid foundation in mathematics and statistics is required
• Proficiency in programming languages such as Python, R or Julia, along with relevant libraries and frameworks
• Experience working with large datasets
• Strong understanding of algorithms, data structures, and their applications in time-series analysis
• Excellent English communication skills, both written and verbal
• Ability to manage multiple tasks in a fast-paced, collaborative environment
• Experience working with tick and/or order-book data will be considered as an advantage 
• Experience as a Data Analyst, Quantitative Researcher, or a similar role within financial markets will be considered as an advantage
• Strong knowledge of market-making principles will be considered as an advantage
• Working knowledge of SQL and databases will be considered as an advantage
• Strong understanding of C/C++/Rust will be considered as an advantage

• Competitive and attractive compensation
• Extensive learning opportunities, such as professional training and certifications, soft skills development, free English courses, and trading workshops
• Flight tickets, hotel or apartment accommodation for your first month, migration support, and legal help for you and your family (if relocating)
• Health and life insurance for employees, spouses, and children, including vaccinations, tests, mental health care, and coverage for vision and dental care
• Generous time off, including 21 days of annual leave and paid sick leave
• Education allowance for your children's school and kindergarten fees
• Access to our very own sports club with dedicated coaches, free Sanctum Club memberships for you and your spouse, corporate SUPs, jet skis, etc
• A branded company car (if relocating) with a parking space near the office
• Outstanding team-building experiences and Exness community gatherings

1. TA Interview (30 minutes)
2. Take Home Task
3. Technical Interview (1 hour)
4. Final Interview (1 hour)

Please use your exness work email for internal applications and ensure to disclose any existing Conflict of Interest you may have.