Data Analyst

• Client Implementation - Analyse clients' data and collaborate with developers to build custom solutions for clients ranging from top-tier banks to investment firms in various locations
  


• Data-Driven Decision Making - Investigate various data sets using a range of tools to make data-driven decisions
  


• Client Engagement - Offer product demonstrations, lead client onboardings and manage errors to ensure a seamless service delivery
  


• Quality Assurance - Ensure the usability, quality and delivery of features and the product as a whole
  


• Continuous Improvement - Analyse and understand the needs and priorities of clients to build a better product
  

Requirements

• University degree in Finance, Computer Science, Informatics, Engineering, Mathematics or any other related field
  


• Experience in Data Analytics, Data Science or Business Intelligence
  


• Ability to communicate technical concepts to a non-technical audience
  


• Knowledge of SQL
  


• Knowledge of a programming language will be considered an advantage (Python, JavaScript)
  


• Experience in the Financial Services industry or knowledge of Financial Instruments and Markets will be considered an advantage
  


• Knowledge of trade and transaction reporting (EMIR, MiFIR, SFTR etc.) will be considered a bonus
  
  

• Strong analytical and problem-solving skills
  


• Desire to implement continuous improvement and innovation
  


• Attention to detail
  


• Positive – Has a positive attitude, optimistic
  


• Confident – Has self-confidence that instills sureness in the prospect/client
  


• Proactive – Takes time to prepare, takes responsibility and acts
  


• Excellent organizational and interpersonal skills
  


• Strong communication and collaboration skills
  


• Team player – actively contributes and supports the team to achieve a common goal
  
  

Benefits

• Competitive remuneration package
  


• Medical Insurance
  


• Provident Fund upon successful completion of the probation period
  


• Flexible work schedule - Work from home policy
  


• 22 days of annual leave
  


• Professional Development: In-house and external training
  


• Workplace perks