Active Roles at Blueion Support Services

Job Purpose

• To manage and control customer reconciliations, while supporting the secure, accurate, and timely processing of withdrawals. The role ensures compliance with financial controls, mitigates risk (including fraud), and maintains strong cash flow through effective collections and account reconciliation.

Key Responsibilities

Withdrawals Processing (Priority)

• Review customer withdrawal requests and daily withdrawal reports in accordance with internal policies
• Verify account balances, transaction history, and withdrawal eligibility
• When applicable - Liaise with payment providers, banks, and internal teams to ensure smooth processing and resolve discrepancies.
• Investigate and review failed, returned, delayed, or disputed withdrawals.
• Maintain accurate audit trails for all withdrawal transactions, exception reporting and admin transactions.

Collections

• Monitor & Review customer accounts & reconciliations to ensure accuracy and timely payment of outstanding balances
• Proactively follow up on overdue accounts
• Allocate incoming payments accurately and resolve discrepancies
• Ensure & Maintain up-to-date records of all collection activities

Reconciliation & Reporting

• Ensure all processor reconciliations are accurate and complete
• Identify and escalate discrepancies or suspicious transactions
• Review daily/weeklymonthly reports on collections, outstanding balances, and withdrawals

Risk & Compliance

• Ensure adherence to internal controls and company policies
• Identify potential fraud or irregular activity and escalate promptly
• Support audits by providing required documentation and explanations
• Maintain confidentiality and data protection standards

Stakeholder Communication

• Work closely with customer support, finance, and compliance teams
• Build strong relationships with internal and external stakeholders

Key Requirements

Experience

• 2–5 years’ experience in credit control, accounts receivable, or payments processing
• Experience in high-volume transaction environments (e.g. gaming) preferred
• Exposure to withdrawals/payment processing is highly advantageous

Skills & Competencies

• Strong numerical and analytical skills
• High attention to detail and accuracy
• Good understanding of financial controls and reconciliation processes
• Excellent communication
• Ability to work under pressure and meet deadlines
• Proficient in Excel and financial systems
• Experience in the igaming industry

Personal Attributes

• Integrity and high ethical standards
• Problem-solving mindset
• Organized and methodical approach
• Ability to handle sensitive financial information
• Team player with a proactive attitude

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Job Description

• We are looking for a Business Intelligence Analyst that will help discover the information hidden in vast amounts of data and assist in decision making. The successful candidate will turn data into information, information into insights and insights into business decisions.

Duties and Responsibilities:

• Identify potential process improvements and areas within the business for the BI team to get involved.
• Preparing reports and presentations and deriving business insights.
• Ad hoc analysis (scenario modelling, impact analysis etc).
• Develop, test, and implement data driven (SQL) reports.
• Identify new process improvement opportunities.
• Excellent written and verbal skills.
• Analyse customer behaviour, market trends and demographics.
• Project management skills.

Skills and Qualifications:

• Any Microsoft Business Intelligence (MSBI) certification.
• Bachelor’s degree advantageous.
• 3+ years working experience with SQL Server databases and Transact-SQL.
• Advanced Excel (Pivot, VLOOKUP, etc.).
• Strong analytical skills with the ability to collect, organise, analyse and disseminate significant
• amounts of information with attention to detail and accuracy.
• Experience in building report models with visualisation tools (Power-BI advantageous)
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Machine Learning and Analytics experience advantageous.

Closing Date 01 May 2026