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Actuarial Analyst

Job Ref. No. JHIL017

Main Responsibilities
 Providing advisory on the insurer’s actuarial and financial risks.
 Evaluating and providing advice on risk modelling and use of internal models, as applicable.
 Providing guidance on the selection of key actuarial assumptions.
 Pricing of insurance contracts.
 Product development and Product reviews and advisory.
 Experience monitoring
 Supporting on data analytics
 Reserving
 Scenario and sensitivity testing.
 Providing guidance on adequacy of reinsurance arrangements.
 Developing and tracking pricing actuarial analytics.
 Maintaining and developing effective actuarial reports of historical performance.
 Maintaining and distributing actuarial reports.
Key Competencies

  1. Strong analytical and problem-solving skills
  2. Financial modelling ability
  3. Reporting skills
  4. Project Management
  5. Strong Interpersonal and Communication skills
  6. Ability to prioritize & deliver within set timelines
  7. A team player with strong customer focus
  8. An undergraduate degree in Actuarial, mathematics or statistics
  9. Passed at least 6 actuarial exams from the Institute of Actuary or Society of Actuary
  10. Proficient in the use of Microsoft office suite and packages, SQL/R/Python language
    Relevant Experience
    At least 3 years of relevant experience especially in actuarial and analytics.
    If you are qualified and seeking an exciting new challenge, please apply via quoting the Job Reference Number and Position by 18th January 2022.

Lead – Data Scientist

(NOTE: Get a 6 Figure Salary Even Without a Degree or Masters working with NGOs and the UN. Get More Details Here.)

Job Ref. No. JHIL016

Main Responsibilities
 Oversee design, development and deployment of the ETL Layer to ensure up to date data is available.
 Develop, update and manage business reports through BI
 Supporting the data warehouse in modifying datasets as per requirements.
 Supporting initiatives for data integrity and normalization.
 Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new
 Identify valuable data sources and automate collection processes.
 Undertake pre-processing of structured and unstructured data from different data sources.
 Analyze large amounts of information to discover trends and patterns.
 Build predictive models and machine-learning algorithms.
 Combine models through ensemble modelling.
 Present information using data visualization techniques.
 Maintain detailed and up to date specialist knowledge of data management techniques and tools and implement
within the organization as appropriate.
 Propose solutions and strategies to business challenges.
 Collaborate with engineering and product development teams.
 Providing technical expertise on data storage structures, data mining, and data cleansing.
Functional Skills
 Data mining techniques using Python, R Programming.
 Big Data Applications.
 NoSQL Databases (SysBase, Cassandra, Mongo DB, Couch DB, Apache Hive).
 Relational Database and SQL Language (PL/SQL).
 Extraction, Transformation and Loading (ETL)
 Data Warehouse Solution Design
 Dimensional Modeling
 Analytics / OLAP Cube Development (MDX)
 Reports & Dashboard Development
1) Degree in Computer Science, Telecommunications, Engineering or relevant field
2) Professional qualification in technology
Relevant Experience
At least 2 years of relevant experience especially on all stages of project management process (data mining, data
analytics, requirements and logical design, physical design, implementation, testing and deployment).
If you are qualified and seeking an exciting new challenge, please apply via quoting the Job Reference Number and Position by 12th January 2022

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