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 the development of bespoke solutions for our clients.

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

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

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Data Analyst

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