Forex , Data Analysis , Information Technology (IT)
Location: Nicosia
Reference: 5241
Date Posted: 21/09/2021
Data Analyst
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CareerFinders, on behalf of our client, an expanding CySEC Licensed Investment Firm with offices in Nicosia, we are seeking to recruit a Data Analyst to join their team. The successful applicant will hold demonstrated experience in statistical analysis as well as a solid understanding of statistical concepts such as hypothesis testing, correlation, regression and distributions. Outstanding communication skills in English are a must.
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Role Overview:
 
Our client is looking for a data analyst with a passion for new technology to help drive informed business decisions. 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). The successful candidate will also develop and implement database and new data collection processes, design and deploy reports, dashboards and analytical systems that support evaluation of financial performance, drive and support business decisions. The ideal candidate is results focused, a self-starter, and have demonstrated success in using analytics to drive understanding, growth and business improvements.
 
Key Duties/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.
 
Key Skills/Experience:
 
  • Masters/PhD University degree in Quantitative field (Statistics/Computer Science/Engineering/Quantitative Finance).
  • 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 modelling.
  • 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.
  • Proficiency in ETL processes, tools and relational databases would be an advantage.
  • Experience in designing and managing SQL databases would be an advantage.
  • Experience with large data sets and distributed computing would be an advantage.

To apply for this vacancy, please send your CV, along with any covering letter to [email protected] quoting the above job title. Please note that due to the high volumes of applications received only shortlisted applicants will be responded to. By sending us your CV you are giving CareerFinders your consent to be contacted for this and any other suitable vacancies that we believe match your skills and experience. To view our privacy policy, please click www.careerfinders.com.cy/privacy-policy.