Data Analyst

About Us

Point Nine is a boutique Reg-Tech firm offering cloud-based technology which collects raw data from various sources, processes them, and shapes them into submittable reports relative to the needs of the Regime to which they report under. Coupled with an exceptional management service and state-of-the-art portal notifications, our solution is probably the only true end-to-end solution, covering EMIR, MiFIR, FinfraG, and SFTR.

At Point Nine, commitment to our communities is integral to our values. We strongly believe that each should reach their best potential and with that as Point Nine’s foundation, we commit to our corporate and social responsibility not only to contribute to those who need support but to also inspire and empower the community to partake in this commitment to cultivating potential with the ultimate goal of communities and economy to prosper in parallel.

Job Description

The Data Analyst will solve complex problems by using industry-standard and proprietary tools, exploring datasets and consolidating views from regulators, market experts, sales, and top-tier financial institutions. You will engage in the entire client lifecycle, from client onboarding to daily client support with the development of bespoke solutions for our clients.

This role combines analytical work with a strong client-facing component and requires building a solid understanding of capital markets, financial instruments, and regulatory frameworks.

Key responsibilities:

• 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

Candidate 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

Candidate Profile:

• 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

Πλεονεκτήματα

• Competitive remuneration package
  
• Ιατρική ασφάλιση
  
• 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