Junior Compliance Analyst

Job Summary
Collects and evaluates data to identify potential risks and their financial impact on the organization. Supports risk management decision-making through reports, models, forecasts, risk scenario analysis, and financial risk management activities.

Job Responsibilities

• Financial Risk Management - Carry out the financial risk management process within a specific area or operation, maintaining alignment with risk tolerance policies.
• Risk Scenario Modeling - Support the analysis and assessment of risks to determine whether they are within the agreed risk appetite.
• Data Collection and Analysis - Produce accurate reports for others by collecting data from a variety of standard sources and inputting it into standard formats.
• Advanced and Predictive Analytics - Support interpretation of advanced and predictive analytics data, using basic software tools and functionalities.
• Insights and Reporting - Extract and combine data to generate standard reports.
• Information and Business Advice - Resolve complex queries from internal or external customers or suppliers by providing information on policies and/or procedures, referring the most complex issues to others.
• Operational Compliance - Develop knowledge and understanding of the organization's policies and procedures and of relevant regulatory codes and codes of conduct to ensure own work adheres to those standards. Obtain authorization from a supervisor or manager for any exceptions from mandatory procedure.
• Personal Capability Building - Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching. Develop and maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.
  

Experience Level

Recommended General Experience
Basic experience of simple office / operational systems (4 to 6 months)

Recommended Managerial Experience
Very limited (0 to 3 months)

Applicable Skills

• Data Collection and Analysis - Experienced - Works with full competence to determine and analyze trends from data that is collected to assist in compiling reports that will help in decision-making. Typically works without supervision and may provide technical guidance.
• Review and Reporting - Experienced - Works with full competence to create reports, and review reports created by others, for various audiences as relevant, in a lucid and effective manner, keeping in mind the purpose of reports. Typically works without supervision and may provide technical guidance.
• Numerical Skills - Experienced - Works with full competence to understand numerical concepts and use them to carry out mathematical operations e.g. in order to analyze reports. Typically works without supervision and may provide technical guidance.
• Risk Management Techniques - Experienced - Works with full competence to identify, assess, prioritize and manage risks. Typically works without supervision and may provide technical guidance.
• Database Reporting - Intermediate - Works at an intermediate level to use database reporting tools and techniques. Typically works with guidance.
• Analytical or scientific software - Experienced - Applies concepts of knowledge / skill without requiring supervision; also able to provide technical guidance when required
• Analyze Alternatives and Recommend Solutions - Experienced - Works with full competence to analyze potential solutions and create recommendations based on the expected benefits, costs, and overall value of the solution for key stakeholders. Typically works without supervision and may provide technical guidance.
• Predictive Modeling Techniques - Experienced - Works with full competence to develop and apply predictive models that analyze current and historical data to forecast future trends, events, or behaviors relevant to business goals. Typically works without supervision and may provide technical guidance.
• Statistical Techniques - Intermediate - Works at an intermediate level to apply analytical skills and statistical methods for data collection, review, testing, analysis, and conclusion drawing, with a solid understanding of probability theories, data models, and statistical software. Typically works with guidance.
• Data Analysis Techniques - Intermediate - Works at an intermediate level to inspect, cleanse, transform, and model data to discover useful information, inform conclusions, and support decision-making. Typically works with guidance.
• Data Interpretation - Intermediate - Works at an intermediate level to interpret data by examining patterns, trends, relationships, and implications to draw meaningful conclusions and answer critical questions. Typically works with guidance.
• High Risk Typologies Methodologies - Experienced - Works with full competence to identify and analyze patterns in high-risk financial activities and typologies, understanding the financial crimes risks posed by various high-risk activities and instruments such as money services businesses, payments companies, virtual currencies, cash intensive businesses, hedge and private equity funds, foreign correspondence banking, non-operating companies and payroll service companies. Typically works without supervision and may provide technical guidance.
  

Qualifications:

• A university degree in accounting or relevant professional qualifications
• Strong knowledge of accounting and taxation principles
• Strong knowledge of Oracle R12 and Blackline
• High-level knowledge of the R2R, P2P, and CRR processes
• Intermediate skills in quality-checking balance sheet reconciliations
• Intermediate skills in performing analytical review of the company ledger
• Exposure in financial statements preparation is highly preferred
• Excellent organization and problem-solving skills in a high-volume and fast-paced environment
• Ability to prioritize and multitask effectively
• High degree of commitment to meet deadlines
• Pragmatic, hands-on, flexible & adaptable to change, self-starter
• Strong communication and interpersonal skills
• Strong Microsoft Excel skills
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
• Must be in current role for 1 year
• Must not have received any Disciplinary Action within the past 12 months
• Must not be enrolled in any Performance Improvement Plan (PIP) for the last 12 months
• Must not have any Attendance and Punctuality issues in the past 12 months









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