Current Opportunities at ICEA Lion Group

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Accounts Assistant, Reinsurance

Job Summary

The Accounts Assistant Reinsurance is responsible for assisting the Senior Assistant Manager Reinsurance in reconciling reinsurance balances as well as following up on collection of premium and claims amounts as well as payment of outstanding premium amounts.

Roles and Responsibilities

• Managing Reinsurers’ receivable balances in the form of both premiums and claims receivable to ensure these balances are timely collected.
• Managing reinsurance premium payments to reinsurers and ensuring that reinsurance premium is promptly paid.
•  Ensuring that all reinsurance balances are reconciled quarterly and signed off as a control measure before statements are printed.
• Regularly making contact with reinsurers, ensuring all relevant debts are managed as necessary and also to resolve any queries arising and reconciling where necessary.
• Ensuring the company’s policy credit policy on reinsurance balances is adhered to as well as monitoring credit limits issued to various clients.
• Ensuring that proper documents are available for all reinsurance parties before an account is opened.
• Overseeing production and issuance of statements for reinsurance balances as well as reports for auditors and management.
• Ensuring that reinsurance databases are updated regularly and maintained with current activity.
• Ensuring all receipts are promptly allocated to respective reinsurance balances.
• Ensuring that information on policies which are to be cancelled are promptly communicated to the underwriting team.
• Ensuring the finance reinsurance team regularly contact reinsurers by telephone, e‐mail, letters, and personal visitations for the purpose of collection.
• Maintaining an accurate memorandum account for subrogation’s to ensure timely follow up and collection.
• Ensure that withholding tax relating to reinsurance balances is promptly paid and accounted for.​

Requirements

Academic and Professional Qualifications

• Bachelor’s Degree in Accounting, Finance, Economics, Business, or a related discipline from a reputable university.
• Professional qualification(s) e.g. ACCA, CPA (K) or equivalent is an added advantage
• At least one year’s experience in reinsurance and credit management in a busy finance institution, preferably a General Insurer. 

Core Technical competencies

• Must be a self-starter, highly organized, and able to work well with people at all levels in the organization
• Analytical and creative thinking skills
• Project management skills
• Good customer relationship management skills (internal and external customers)
• Good communication skills, both written and verbal.
• Self-motivated but able to work as part of a team.
• Good organizational and time-management skills.
• Positive attitude, self-motivated, self-driven, and able to work with minimal supervision.
• Good negotiation skills and persuasiveness.
• Trustworthiness and discretion when handling confidential information.

Data Analytics Officer

Job Summary

Reporting to the Chief Accountant, the Data Analytics Officer is responsible for:-

• Assisting the department in analyzing data and metrics to identify trends that may be useful in decision making.
• Assisting in all phases of project work, including problem identification, formulation, model development, and deployment.

Roles and Responsibilities

•  Analyze source data and data flows, working with structured and unstructured data to determine trends and assist in better decision-making.
•  Support in the development and enhancements of Macros in configuring data sets to specified or standard reporting templates for aggregation from multi systems.
•  Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends
•  Apply AI and Machine Learning technology to solve complex, finance problems
•  Analyze and visualize diverse sources of data, interpret results in a business context, and report results clearly and concisely
•  Fulfill problem formulation and ML technique consulting requests in a timely manner
•  Communicate and present analytical models to the department management
•  Work collaboratively with different business partners and be able to present results in a clear and concise manner.
•  Design, develop, and implement state-of-the-art AI techniques; reproduce and apply existing algorithms/methods/models for financial applications.
•  Innovate and advance AI techniques; evaluate and improve AI algorithms/methods/models currently used.
•  Assist with image data curation, processing, and analysis; create and maintain optimal data pipelines by conducting regular quality and reproducibility checks.
•  Assist with developing and deploying AI educational workshops/seminar series for the finance staff to accelerate AI adoption.
• Communicate results/findings.

Requirements
Academic and Professional Qualifications and knowledge

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics, Business or Physics
• Master’s degree and professional qualifications will be an added advantage.
• Exceptional skills in
• Machine Learning (ML)
• Artificial Intelligence (AI)
• Scalable Computing.

Experience

• 2+ years of experience in software development with Python/Scala/R/ C++/technical languages
• 1+ years working with Artificial Intelligence / Machine Learning tools and techniques
• 2+ years of experience with Machine Learning or Artificial Intelligence techniques in one or more of the following: advanced neural network architectures, regression, classification and clustering
• Demonstrated ability in the application of Machine Learning or AI in real-world settings with large scale data
• Experience with Deep Learning tools such as TensorFlow, PyTorch, or other frameworks on GPUs
• Experience with Agile software development
• Experience with parallel and distributed computing is a plus.

Core Technical competencies

• Experience building deep learning solutions for real-world applications, such as Computer Vision, Natural Language Processing, time-series analysis or anomaly detection
• Sound understanding of Financial Services/Insurance technologies.
• Excellent relationship management skills.
• Strong oral and written skills.

Method of Application

Use the link(s) below to apply on company website.

• Accounts Assistant, Reinsurance
• Data Analytics Officer