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actuarial data scientist

GIG Gulf

<div>
 <p>
  <strong>
   Who we are
  </strong>
 </p>
 <p>
  GIG Gulf (a Fairfax company) is part of the Gulf Insurance Group (GIG), the #1 largest regional composite insurer in the Middle East and North Africa, with presence in 12 markets including the United Arab Emirates, Bahrain, Oman, Qatar, Saudi Arabia, Algeria, Egypt, Iraq, Jordan, Kuwait, Lebanon, and Turkey. GIG Group reported consolidated assets of US$ 4.01 billion and $84 million net profit for the year 2024. The majority shareholder of GIG Group is Toronto based Fairfax Financial Holding, a global leader in insurance and reinsurance with a presence in 40 markets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  GIG Gulf is an &lsquo;A&rsquo; rated regional insurer with a top 5 position in each of its markets (UAE, Oman, Qatar, Bahrain). GIG Gulf has been present in the region for over 70 years with a strategic focus on both growth and investments and is a one stop shop offering a wide range of insurance products and services that cater to a broad variety of needs for corporates, SMEs and individual customers throughout UAE, Oman, Bahrain, and Qatar. GIG Gulf also owns a 50% stake in GIG Saudi. Our strategic objectives and guiding principles are focused on Regional Growth, Customer Experience and Digital Transformation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  GIG Gulf has created a diverse and inclusive working environment and culture with a workforce of over 800 employees, with over 60 nationalities, across 15 branches and retail shops region-wide and over 1 million customers. GIG Gulf is a caring partner that encourages customers to achieve their goals and live an inspiring and fulfilling life. We are obsessed with customer feedback and continuously evolving to become the region&rsquo;s digital insurer of reference, committed to running our operations in a responsible, sustainable way.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job purpose:
  </strong>
 </p>
 <p>
  If you&rsquo;re a dynamic Actuarial Data Scientist with 3 to 5 years of significant P&amp;C or Healthcare actuarial reserving experience, join us to revolutionize healthcare insurance through transformative power of data-driven approaches.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an Actuarial Data Scientist at GIG you&rsquo;ll play a vital role in strategic decisions by combining actuarial insights with data science methodologies. Collaborate across departments, analyze complex datasets, build robust models, and utilize visualization tools to shape healthcare reserving results and contribute to an accurate profitability analysis of the business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Manage monthly reserving tasks for Healthcare lines of business, ensuring precision and regulatory compliance.
  </li>
  <li>
   Develop tailored reserving models for diverse Healthcare segments, encompassing Commercial Lines (SME, Corp) and Personal Lines (PL).
  </li>
  <li>
   Conduct profitability analysis for various Healthcare segments, contributing to well-informed strategic decisions.
  </li>
  <li>
   Contribute to regulatory reporting, including the implementation of IFRS17 requirements.
  </li>
  <li>
   Foster collaboration with external actuaries, auditors, and reinsurers for alignment and compliance.
  </li>
  <li>
   Assist in ad-hoc studies requested by the Head of Actuarial across various lines of business.
  </li>
  <li>
   Stay updated with industry trends and best practices in both actuarial science and data science domains.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Operational &amp; Technical Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Collaborate closely with actuarial, IT, risk management, claims operations, accounting, and audit teams to understand business needs and develop data-driven solutions for healthcare reserving.
  </li>
  <li>
   Display expertise in a range of reserving techniques, including Chain Ladder, Mack, Bootstrap and stochastic modeling.
  </li>
  <li>
   Demonstrate proficiency in industry-standard software such as ResQ and IBNRS for robust reserving knowledge.
  </li>
  <li>
   Utilize advanced data science tools including SQL, Postgres, Python, and C++ for data manipulation and analysis.
  </li>
  <li>
   Employ tools like Power BI for dynamic dashboard creation, effectively communicating intricate findings.
  </li>
  <li>
   Apply statistical analysis and predictive modeling to identify trends and risks within complex healthcare datasets.
  </li>
  <li>
   Collaborate with IT teams to ensure data security, integration, and integrity, actively contributing to data governance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Actuarial Science, Mathematics, Statistics, Data Science, or related fields.
  </li>
  <li>
   3 to 5 years of significant experience in P&amp;C or Healthcare actuarial reserving positions, with a strong focus on healthcare reserving and related tasks.
  </li>
  <li>
   Proficiency in SQL for data extraction, transformation, and querying from relational databases.
  </li>
  <li>
   Strong coding skills in R and Python, along with C++, with familiarity in tools like SAS and Postgres.
  </li>
  <li>
   Sound experience in advanced statistical analysis, predictive modeling, and data visualization techniques and tools such as Power BI.
  </li>
  <li>
   In-depth knowledge of various P&amp;C reserving techniques, including Chain Ladder, Mack, Bootstrap stochastic modeling, Bornhuetter-Ferguson, etc.
  </li>
  <li>
   Effective communication skills for translating complex findings to diverse audiences.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desirable Requitements:
  </strong>
 </p>
 <ul>
  <li>
   Actuarial certification (partially or fully validated) from globally recognized institutions such as SOA, IFoA, French Institute of Actuaries, or equivalent actuarial bodies is advantageous.
  </li>
  <li>
   Good knowledge of machine learning libraries and techniques.
  </li>
  <li>
   Familiarity with AWS Datalake and understanding of R Shiny would be beneficial.
  </li>
  <li>
   Experience in the healthcare insurance industry is a plus.
  </li>
 </ul>
 <p>
 </p>
</div>


Actuarial Data Scientist

Milliman

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Milliman&rsquo;s Dubai Health Practice is looking for an actuarial professional with
 <strong>
  more than 6 years
 </strong>
 of experience, who has a strong desire to expand their actuarial skills, is committed to obtaining Fellowship, and has a career goal of becoming an actuarial consultant.
 <br/>
 <br/>
 <strong>
  Educational Requirements
  <br/>
 </strong>
 <ul>
  <li>
   An undergraduate degree pursuing actuarial science, mathematics, or another major with quantitative course work,
  </li>
  <li>
   A minimum of 10 actuarial exams with a recognized professional actuarial organization &ndash; preferably Associate level reached
  </li>
  <li>
   Outstanding academic record
  </li>
  <li>
   Excellent knowledge of MS Office (Excel, Powerpoint etc.)
   <br/>
  </li>
 </ul>
 <strong>
  Experience And Skill Requirements
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 6 years of actuarial experience, with at least part of the experience in health-related work
  </li>
  <li>
   Superior math aptitude and strong analytical ability
  </li>
  <li>
   Experience with reserving and pricing techniques for health insurance products
  </li>
  <li>
   Working knowledge of actuarial concepts specific to health systems, such as utilisation vs cost, clinical coding systems, Diagnosis-Related Groupers, value-based healthcare etc
  </li>
  <li>
   Client facing experience, including drafting and reviewing of formal actuarial reports as well as presentation of technical content to senior stakeholders
  </li>
  <li>
   Excellent communication (both written and verbal)
  </li>
  <li>
   Good organizational skills
  </li>
  <li>
   Willingness to learn
  </li>
  <li>
   Ability to work both independently and as part of a team
  </li>
  <li>
   Ability to work under pressure
  </li>
 </ul>
</div>


Actuarial Consultant

Munich Re

<div>
 <p>
  As an Associate Client Manager in Munich Re&rsquo;s Non-Life Client Management team, you will support the development and servicing of client and broker relationships across GCC markets. You will contribute to strategic initiatives, manage operational aspects of client accounts, and collaborate with underwriting teams. The Associate Client Manager will support the Lead Client Manager, GCC based in Dubai and will be a part of MENA client management team, reporting to the Client Management Executive based in Munich. The role demands a high standard of business ethics, technical acumen, and proactive relationship management.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your role:
  </strong>
 </p>
 <ul>
  <li>
   Promote Munich Re&rsquo;s image as a leading reinsurance provider through professional client interactions and active industry networking.
  </li>
  <li>
   Apply technical expertise (e.g., actuarial, mathematical, risk management, underwriting) to support client discussions and solution development.
  </li>
  <li>
   Coordinate internal resources to ensure smooth execution of client engagements, cooperation and delivery of services.
  </li>
  <li>
   Prepare and analyse client and market data to inform strategic decisions and renewal planning.
  </li>
  <li>
   Provide support to maintain strong business relationships with Munich Re&rsquo;s Non-Life clients, including market intelligence gathering, renewal facilitation, and account coordination.
  </li>
  <li>
   Contribute to the execution of client/broker and market strategies, helping to deliver results aligned with Munich Re&rsquo;s regional objectives.
  </li>
  <li>
   Actively participate in client meetings and internal strategy sessions to gain exposure to relationship dynamics, with the objective of eventually take ownership of selected accounts.
  </li>
  <li>
   Build familiarity with client portfolios and develop capability to lead engagements with smaller and less complex accounts independently.
  </li>
  <li>
   Support the development and promotion of reinsurance services within defined markets, identifying opportunities and enhancing client value.
  </li>
  <li>
   Maintain accurate CRM records and contribute to internal reporting and planning processes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Profile:
  </strong>
 </p>
 <ul>
  <li>
   2-5 years of experience in an insurance or reinsurance company or brokerage or another related insurance field in a similar function with client management or business development
  </li>
  <li>
   Bachelor&rsquo;s degree in Business, Economics, Finance, Insurance, or a related field. Professional designations in insurance/ reinsurance is of advantage
  </li>
  <li>
   Understanding of Non-Life insurance/reinsurance business in the GCC region, preferably across various lines and types of (re)insurance business
  </li>
  <li>
   Analytical mindset with proficiency in Excel, PowerPoint, and CRM tools.
  </li>
  <li>
   Familiarity with accounting, finance, underwriting and actuarial concepts.
  </li>
  <li>
   Team playing capabilities, ability to work in a multicultural environment, experience in an international environment is of advantage.
  </li>
  <li>
   Excellent communication, interpersonal, and organizational skills.
  </li>
  <li>
   Fluency in business English is a must, literacy in Arabic is a strong advantage
  </li>
  <li>
   Cross-cultural competence, willingness to travel
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the center of this interaction is each of us.
 </p>
</div>


Associate Client Manager

Jex Recruitment | Connecting top talent with leading companies

<div>
 <p>
  Principal Data Scientist &ndash; Cyber Security | Dubai
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re partnered with a leading Cyber Security organisation in Dubai to hire a
  <strong>
   Principal Data Scientist
  </strong>
  . This role is ideal for a seasoned data science professional &mdash; someone with 10+ years&rsquo; experience applying machine learning to complex, high-impact problems &mdash; and a deep technical interest in cyber defence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll play a hands-on role in designing, building, and deploying ML architectures that power next-generation threat detection and predictive security systems. Working at the intersection of
  <strong>
   AI, data, and cyber security
  </strong>
  , you&rsquo;ll drive innovation while remaining deeply involved in technical delivery.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Architect, develop, and deploy advanced ML models for anomaly detection, intrusion prevention, and predictive defence.
  </li>
  <li>
   Collaborate with cyber research and engineering teams to embed AI capabilities into real-world security products.
  </li>
  <li>
   Lead the design of scalable data and ML pipelines capable of handling high-volume, adversarial data.
  </li>
  <li>
   Evaluate emerging technologies and research to continuously evolve the organisation&rsquo;s ML stack.
  </li>
  <li>
   Mentor and guide data scientists and ML engineers, setting technical direction and best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements
 </p>
 <ul>
  <li>
   <strong>
    10+ years of experience
   </strong>
   in data science, machine learning, or applied AI, with a focus on hands-on technical work.
  </li>
  <li>
   Strong background in
   <strong>
    cyber security
   </strong>
   , ideally with experience in malware analysis, SOC operations, or threat intelligence.
  </li>
  <li>
   Proven record of building
   <strong>
    production-grade ML systems
   </strong>
   and data architectures.
  </li>
  <li>
   Advanced proficiency in
   <strong>
    Python
   </strong>
   ,
   <strong>
    TensorFlow/PyTorch
   </strong>
   , and distributed data technologies (Spark, Kubernetes, etc.).
  </li>
  <li>
   Deep understanding of modern ML methodologies, from feature engineering to model deployment and monitoring.
  </li>
  <li>
   Strong communicator and problem-solver, able to operate both strategically and technically.
  </li>
 </ul>
 <li>
 </li>
 <p>
 </p>
</div>


Principal Data Scientist

<div><div><p><b>Location</b></p>
Dubai, United Arab Emirates
<p><b>Job type</b></p>
Full-Time
<p><b>Work mode</b></p>
Hybrid
<p><b>Job level</b></p>
Professional
<p><b>Job ID</b></p>
11337
<p><b>Company</b></p>
Munich Re
<p><b>Employment type</b></p>
Regular
<p><b>Area of expertise</b></p>
Client &amp; Customer Management</div></div><div></div>
<br><div><div><p>As an Associate Client Manager in Munich Re&rsquo;s Non-Life Client Management team, you will support the development and servicing of client and broker relationships across GCC markets. You will contribute to strategic initiatives, manage operational aspects of client accounts, and collaborate with underwriting teams. The Associate Client Manager will support the Lead Client Manager, GCC based in Dubai and will be a part of MENA client management team, reporting to the Client Management Executive based in Munich. The role demands a high standard of business ethics, technical acumen, and proactive relationship management.</p><p><b>
Your role:</b></p><ul><li>
Promote Munich Re&rsquo;s image as a leading reinsurance provider through professional client interactions and active industry networking.</li><li>
Apply technical expertise (e.g., actuarial, mathematical, risk management, underwriting) to support client discussions and solution development.</li><li>
Coordinate internal resources to ensure smooth execution of client engagements, cooperation and delivery of services.</li><li>
Prepare and analyse client and market data to inform strategic decisions and renewal planning.</li><li>
Provide support to maintain strong business relationships with Munich Re&rsquo;s Non-Life clients, including market intelligence gathering, renewal facilitation, and account coordination.</li><li>
Contribute to the execution of client/broker and market strategies, helping to deliver results aligned with Munich Re&rsquo;s regional objectives.</li><li>
Actively participate in client meetings and internal strategy sessions to gain exposure to relationship dynamics, with the objective of eventually take ownership of selected accounts.</li><li>
Build familiarity with client portfolios and develop capability to lead engagements with smaller and less complex accounts independently.</li><li>
Support the development and promotion of reinsurance services within defined markets, identifying opportunities and enhancing client value.</li><li>
Maintain accurate CRM records and contribute to internal reporting and planning processes.</li></ul><p></p><p><b>
Your Profile:</b></p><ul><li>
2-5 years of experience in an insurance or reinsurance company or brokerage or another related insurance field in a similar function with client management or business development</li><li>
Bachelor&rsquo;s degree in Business, Economics, Finance, Insurance, or a related field. Professional designations in insurance/ reinsurance is of advantage</li><li>
Understanding of Non-Life insurance/reinsurance business in the GCC region, preferably across various lines and types of (re)insurance business</li><li>
Analytical mindset with proficiency in Excel, PowerPoint, and CRM tools.</li><li>
Familiarity with accounting, finance, underwriting and actuarial concepts.</li><li>
Team playing capabilities, ability to work in a multicultural environment, experience in an international environment is of advantage.</li><li>
Excellent communication, interpersonal, and organizational skills.</li><li>
Fluency in business English is a must, literacy in Arabic is a strong advantage</li><li>
Cross-cultural competence, willingness to travel</li></ul><p>
At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the center of this interaction is each of us.</p></div></div><div></div>
<br><div><div><div><p>Your Benefits</p>
<p><b>With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.</b></p>
</div><div></div><div><div><div>Competitive Salary</div>
<div>We provide fair and competitive compensation that reflects your performance and commitment.</div>
</div><div></div><div><div>Company performance-based Incentives</div>
<div>In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.</div>
</div><div></div><div><div>Recognition and Special Rewards</div>
<div>We recognise outstanding individual contributions through a variety of targeted rewards and incentives.</div>
</div><div></div><div><div>Retirement Planning</div>
<div>We support your long-term financial wellbeing with retirement solutions aligned with local regulations.</div>
</div><div></div><div><div>Inclusive Workplace Culture</div>
<div>We foster a respectful, inclusive, and values-driven environment.</div>
</div><div></div><div><div>Learning &amp; Development</div>
<div>We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.</div>
</div><div></div><div><div>Work-Life-Balance</div>
<div>Supporting your ability to balance family, leisure, and your career.</div>
</div><div></div><div><div>Health &amp; Wellbeing</div>
<div>We support your physical and mental health through a range of programs and activities in each location.</div></div></div></div></div>

Fuse Energy

<p>We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.</p> Responsibilities: <ul><li>Develop and implement models for our energy supply business using Python and other data science tools</li><li>Identify, analyze, and mitigate credit risk</li><li>Conduct data analysis and modeling to support risk management decisions</li><li>Stay current with industry developments and regulations related to credit risk management</li></ul> Requirements: <ul><li>2+ years of experience as a quantitative researcher or data scientist</li><li>Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy</li><li>Strong statistical and modeling skills</li><li>Strong communication and collaboration skills</li><li>Experience in the energy industry is a plus</li></ul> Benefits: <ul><li>Competitive salary and a stock options sign-on bonus</li><li>Biannual bonus scheme</li><li>Fully expensed tech to match your needs!</li><li>28 days paid annual leave per year including public holiday</li></ul>

Quantitative Researcher

<div>
 We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.
 <br/>
 <br/>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Develop and implement models for our energy supply business using Python and other data science tools
  </li>
  <li>
   Identify, analyze, and mitigate credit risk
  </li>
  <li>
   Conduct data analysis and modeling to support risk management decisions
  </li>
  <li>
   Stay current with industry developments and regulations related to credit risk management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience as a quantitative researcher or data scientist
  </li>
  <li>
   Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy
  </li>
  <li>
   Strong statistical and modeling skills
  </li>
  <li>
   Strong communication and collaboration skills
  </li>
  <li>
   Experience in the energy industry is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and a stock options sign-on bonus
  </li>
  <li>
   Biannual bonus scheme
  </li>
  <li>
   Fully expensed tech to match your needs!
  </li>
  <li>
   28 days paid annual leave per year including public holiday
  </li>
 </ul>
</div>


Explore 2127+ Actuarial data scientist in Training Jobs In Dubai this December. Find roles across top companies and apply now to boost your career.

2127 actuarial data scientist jobs IN Training Jobs In Dubai

Actuarial Data Scientist

Actuarial Consultant

Associate Client Manager

Principal Data Scientist

Associate Client Manager

Quantitative Researcher

Quantitative Researcher