Latest Jobs at Rosabon Financial Services Limited

Job Role

• This role ensures the accuracy of all bank reconciliation officers checks and balances of postings into the ERP vis-à-vis bank ledger. The role supervises the bank reconciliation officers.
• The role is to ensure quality and near perfect data accuracy of posted payments by thorough second-level checks carried out by bank reconciliations officers.

Duties & Responsibilities
Data Assurance Supervisor:

• Review all data for errors and report any unusually findings to management.
• Collect and determine completed of all information posted into the ERP vis-à-vis bank ledger.
• Generate weekly and monthly reports regarding sales information or areas to be improved upon.
• Ensure proper updates of required software and train existing/new posting officers as needed on company processes.
• File and organize paperwork used to enter data into programs to keep a record of original documents.
• Any other tasks as may be assigned by management.

Qualifications

• 3+ years of relevant experience with knowledge of commercial credit risk strategies.
• Advanced skills in Excel, Word, PowerPoint, required.
• Superior communication, organization and presentation skills desired.
• Bachelor's Degree in Finance, Accounting, Economics, Mathematics, Industrial Engineering, Statistics or related Degree.
• Experience with and in the use of IFRS.

Job Knowledge:

• Strong knowledge of accounting principles and comfort with evaluating financial statements and business models across a range of industries.
• Must have excellent quantitative and analytical skills, along with the ability to apply those skills across a variety of business processes.
• Possess a working knowledge of consumer credit risk management and sound market and industry knowledge.
• Have an understanding of the key drivers of consumer loan/credit card financials and the underlying consumer behaviors that drive those financials.

Skills / Competencies:

• Excellent communication/ interpersonal skills.
• Ability to manage relationships across diverse groups of people.
• Result-oriented.
• Ability to work with minimum supervision and function in multicultural and multidisciplinary environment.
• Must be a helpful, calm and professional individual with a strong time management skills.
• Ability to handle several complex tasks simultaneously and also coordinate key projects with a variety of stakeholders.
• Top-notch strategy, presentation and communication skills.
• Self-starter with the drive for continuous improvement and excellence.
• Ability to work under pressure and cope with stress in a coordinated and rational manner. It is essential that they can make sound and rational decisions even under stressful/ high pressure situations.

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Job Description

• The BI/Predictive Analyst is responsible for helping businesses leverage data and identify opportunities for improvement, spot trends, as well as recognize potential issues and offer solutions. His work is aimed towards improving efficiency, increasing productivity, and driving profits for the business.
• He is responsible for managing data retrieval and analysis within an organization. His duties include organizing data points, communicating between upper management and the IT department and analyzing data to determine a corporation's needs.
• He will gather, analyze, and compile data needed to identify trends and patterns, then make recommendations for business actions.
• Assesses market strategies by analyzing related products, markets, or trends. Uses business intelligence data and tools and predictive analytics tools to identify and monitor current and potential trends.
• Identifies markets for future product development and methods to improve sales of existing products by analyzing technology trends.

Responsibilities

• Gathers business intelligence from a variety of sources including company data, industry and field reports, public information, or purchased sources.
• Assesses market strategies by analysing related products, markets, or trends.
• Uses business intelligence data and tools to identify and monitor current and potential customers.
• Identifies markets for future product development and methods to improve sales of existing products by analysing technology trends.
• Compiles business intelligence or trends to support actionable recommendations.
• Maintains current knowledge of industry and business trends through communication with professional.
• Organizations, suppliers, customers, competitors, and other informed individuals.
• Summarizes financial and economic data reports for review by executives, managers, clients, and stakeholders.
• Forecasting using statistical methodology as well as client business rules.
• Data Analysis and Mining.
• Assists in determining quantitative methods for solving business issues.
• Assist in presenting ideas and findings to management.
• Evaluation and improvement of internal tools and processes.
• Anticipate project risk and constraints and proactively work on solutions to address the risk/constraints.
• Could blend into MI or Data Scientist responsibilities.
• Performs other related duties as assigned.

Qualifications/Requirements

• Bachelor's Degree in Statistics, Economics or related quantitative field preferred.
• 5+ years of experience in quantitative marketing arena, in database marketing
• Experience with MS Office (Word, Access, Excel, PowerPoint, Outlook) required
• Proficient in Microsoft Office Suite or related software.
• Ability to collect and compile relevant data.
• Extremely organized with great attention to detail.
• Excellent ability to analyze information and think systematically.
• Strong business analysis skills.
• Works well independently and as part of a team.
• Thorough understanding of the company’s business processes and the industry at large.
• Ability to handle databases and understand technology-driven business intelligence.

Job Knowledge:

• Experience with SQL required.
• Knowledge of BASEL 2/3 desirable.
• Knowledge of Financial Risk Management required.
• Excellent written and oral presentation skills.
• Ability to manage multiple workstreams and deliverables.
• Ability to identify areas for statistical innovation or process improvement, do independent research, develop innovative approaches or processes/codes to;
  • Improve client business results,
  • Improve efficiencies,
  • Reduce potential errors.
• In-depth knowledge of IFRS principles and changes.

Skills/Competencies:

• Excellent verbal and written communication skills.
• High interest in and enthusiastic about business intelligence and predictive analysis.