Data Analyst

StaffMatters Recruitment

Our client is a leading provider of online foreign exchange (forex) trading, CFD trading and spread betting and they are looking for a Data Analyst with a passion for new technology to help drive informed business decisions to join their team based in Nicosia.

This role will be responsible for performing data analysis, provide and communicate insights and offer recommendations to various departments (including; risk, sales, accounting, compliance, dealing and operations).

Responsibilities:
Partner with other teams to solve problems and identify trends and opportunities
Perform quantitative analysis, data mining and presentation of customer activity, trading, and behaviors, internal processes, and external factors
Develop, validate, test and maintain analytical solutions, dashboards, statistical models and algorithms to support process improvements and critical decision making
Defining, evaluating, and monitoring key metrics around initiatives
Conduct research on methods, models, new data sources, and new technology and see it through to implementation
Develop machine learning models helping different facets of the business utilize customer trading and revenue data
Design, prepare and distribute periodic analytics reports
Actively involved in automation of reports and analytical processes
Extract data from multiple sources, proof of concept for new, alternative data sources, maintain and build databases and processes that are utilized for data analysis and reporting

Requirements:
Demonstrated experience in statistical analysis and solid understanding of statistical concepts such as hypothesis testing, correlation, regression, distributions
Deep understanding of uses and misuses of statistical inference and how to account for it
Proven experience using Python and R
Have written complex SQL queries (T-SQL and Microsoft SQL Server preferred)
Familiarity with different machine learning techniques and predictive modeling
Extreme attention to details and ability to deliver solutions with high degree of accuracy in timely manner
Demonstrated strong ownership of the QC process and error resolution within data and analysis
Proven experience in conducting research and implementing solutions for process improvement and revenue generating initiatives
Masters/PhD University degree in Quantitative field (Statistics/Computer Science/Engineering/Quantitative Finance)

Advantage to have:
Proficiency in ETL processes, tools and relational databases
Experience in designing and managing SQL databases
Experience with large data sets and distributed computing


StaffMatters Recruitment

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