modeling analyst

Super Bytes

Job Title: Data analyst Location: Dubai (On-site) Salary: 2000-2500aed +perks Benefits:&nbsp;Company-provided accommodation, visa, food, and transportation.&nbsp;Requirements:&nbsp;<ul><li>1–2 years of experience as an Data analyst or similar role.</li><li>Excellent knowledge of MS Excel and Google Sheets (Advanced Level — formulas, pivot tables, dashboards, etc.).</li><li>Strong analytical and reporting skills.</li><li>Ability to handle large data sets and generate daily/weekly/monthly reports</li><li>Good communication and coordination skills</li><li>Attention to detail and accuracy in data management</li><li>Ability to work independently and meet deadlines</li></ul>&nbsp;Responsibilities:&nbsp;<ul><li>Prepare and maintain daily&nbsp;reports and dashboards.</li><li>Track team performance and operational metrics</li><li>Support management with accurate data insights and analysis</li><li>Coordinate with different departments for data collection and verification</li></ul>

Jr. Data Analyst

Qureos

<h2>Backend Engineer — AI &amp; Data Infrastructure</h2>&nbsp;We are looking for a Backend Engineer to build the AI and data infrastructure powering our next-generation talent and evaluation platform. You will work on data modeling, embeddings, feature extraction, pipeline creation, and serving AI-powered insights at scale. &nbsp;This is a hands-on engineering role focused on scalable AI infrastructure — not research or prototyping. You will collaborate closely with engineering and product teams to design systems that process structured and unstructured data, generate semantic representations, and expose intelligence through reliable APIs. &nbsp;<h2>Responsibilities &nbsp;</h2><h3>AI &amp; Data Infrastructure &nbsp;</h3><ul><li>Design and maintain data models for structured and unstructured data</li><li>Build data ingestion and processing pipelines</li><li>Implement embedding pipelines and vector search systems</li><li>Develop feature extraction logic using LLMs and smaller models</li><li>Optimize for accuracy, latency, and cost &nbsp;</li></ul><h3>Platform Engineering &nbsp;</h3><ul><li>Design and implement backend services that expose AI-driven insights</li><li>Maintain versioning, evaluation checks, and health monitoring for AI outputs</li><li>Optimize performance, caching, and retrieval logic for semantic data</li><li>Collaborate with engineers to ensure data consistency and reliability &nbsp;</li></ul><h3>Model Integration &nbsp;</h3><ul><li>Integrate LLM APIs, embedding models, and small language models</li><li>Build evaluation harnesses to validate extraction quality</li><li>Monitor drift, degradation, and inconsistencies over time &nbsp;</li></ul><h3>General &nbsp;</h3><ul><li>Write maintainable backend code (Node.js / Python / Go)</li><li>Work cross-functionally with product and engineering teams</li><li>Ensure AI systems are robust, observable, and production-ready &nbsp;</li></ul><h2>Required Skills &nbsp;</h2><ul><li>Strong backend engineering experience</li><li>Experience designing or maintaining data pipelines</li><li>Practical experience with embeddings and vector databases</li><li>Familiarity with LLM application patterns (prompting, extraction, RAG)</li><li>Strong SQL and NoSQL fundamentals</li><li>Ability to design scalable APIs</li><li>Understanding of evaluation metrics for AI systems &nbsp;</li></ul><h2>Nice to Have &nbsp;</h2><ul><li>Experience with LangChain or LlamaIndex</li><li>Experience with smaller open-source models (Llama, Qwen, Mistral, etc.)</li><li>Experience with ETL frameworks (Airflow, Dagster, Temporal)</li><li>Interest in skills-based matching or intelligence systems (optional) &nbsp;</li></ul><h2>Success Indicators &nbsp;</h2><ul><li>AI pipelines are stable, observable, and scalable</li><li>Data processing is efficient and correct</li><li>API services return reliable and consistent insights</li><li>Embedding systems improve retrieval quality over time</li></ul>

AI Data Platform Engineer

Braxtone Group

<figure class="table"><table><tbody><tr><td>&nbsp;The Senior Underwriter/data analyst&nbsp;plays a crucial role in supporting overall performance, efficiency, analyzing data results, evaluate and underwrite insurance risks in accordance with company policies and profitability targets while leveraging data analytics to monitor portfolio performance, detect trends, and support strategic decision-making. This position bridges technical underwriting with data-driven insight, ensuring sound risk selection, loss ratio improvement, and operational efficiency.&nbsp;</td></tr><tr><td>&nbsp;DUTIES AND RESPONSIBILITIES:&nbsp;&nbsp;<ul><li>A. Underwriting &amp; Risk Evaluation</li><li>Assess and underwrite individual and fleet policies in line with Braxtone and insurer guidelines.</li><li>Analyze policy applications, vehicle data, and client profiles to determine appropriate pricing and coverage terms.</li><li>Ensure underwriting decisions maintain compliance with company risk appetite and reinsurance requirements.</li><li>Review loss experience, claims frequency, and trends to adjust underwriting criteria or premiums.</li><li>Collaborate with brokers and insurance partners to clarify underwriting conditions or exclusions.</li><li>Recommend risk mitigation actions and re-underwriting for loss-making portfolios.</li><li>B. Data Analysis &amp; Reporting</li><li>Collect, clean, and analyze data from claims, underwriting, and operations systems.</li><li>Identify patterns affecting loss ratio, frequency of service, and claim cost by segment or partner.</li><li>Develop dashboards and reports showing key performance indicators (KPI), including:</li><li>Loss ratio by product and insurer</li><li>Average cost per service or claim</li><li>Policy utilization rates</li><li>Portfolio growth by partner</li><li>Support management in quarterly portfolio reviews and pricing model adjustments.</li><li>Monitor Minimum Deposit (M&amp;D) commitments and insurer performance against service volume targets.</li><li>C. Process Optimization</li><li>Recommend automation and workflow improvements for underwriting and data tracking.</li><li>Work with IT to improve data integration between CRM, claims, and finance systems.</li><li>Establish quality checks for data accuracy and consistency across departments.</li><li>D. Compliance &amp; Governance</li><li>Ensure adherence to underwriting authorities, company policies, and local regulatory standards.</li><li>Maintain confidentiality of partner and client data.</li><li>Prepare audit-ready documentation for internal and external reviews.</li></ul>Key Performance Indicators (KPIs)<ul><li>Portfolio Loss Ratio maintained below agreed benchmark.</li><li>Accuracy of underwriting decisions (error rate &lt; 2%).</li><li>Timely delivery of monthly underwriting and performance reports.</li><li>Reduction in data discrepancies and reporting delays.</li><li>Improvement in underwriting profitability through data insights.</li></ul>&nbsp;</td></tr><tr><td>Educational, Skills, and Experience:&nbsp;<ol><li>Bachelor’s degree, in Actuarial studies,&nbsp;Business Administration, Statistics.</li><li>5–8 years’ experience in underwriting (motor or general lines) with strong analytical exposure.</li><li>Experience in insurance data analysis, pricing, or business intelligence.</li><li>Excellent knowledge of insurance principles, risk assessment, and policy structures.</li></ol>&nbsp;Technical Skills:&nbsp;<ol><li>Advanced Excel, Power BI, or Tableau for data visualization.</li><li>Strong command of SQL or similar tools for data extraction (preferred).</li><li>Familiarity with CRM and insurance management systems.</li><li>Excellent reporting, presentation, and documentation skills.</li></ol>&nbsp;Personal Competencies&nbsp;<ol><li>Analytical thinker with high attention to detail.</li><li>Strong communication and negotiation skills.</li><li>Ability to balance commercial awareness with risk control.</li><li>Organized, proactive, and capable of working under pressure.</li><li>Collaborative and able to work cross-functionally with Operations, Finance, and IT.</li></ol>&nbsp;</td></tr></tbody></table></figure>

Senior Underwriter/ Data Analyst ( Bahrain Based)

Head of Recruitment Operations&nbsp;About Qureos &nbsp;Hiring is broken, slow, expensive, inconsistent, and painful for candidates and companies. Qureos is fixing that.We're building the future of hiring: faster, fairer, and powered by AI + beautifully structured processes.We help companies hire in days, not months, while delivering a world-class candidate experience at scale.If you love solving hard operational problems, designing smooth hiring journeys, and running high-volume recruitment like a win-machine, you’re going to feel at home here. &nbsp;The Role &nbsp;We’re looking for a Head of Recruitment Operations who can own and scale the entire delivery engine of Qureos across sourcing, screening, assessments, shortlisting, and candidate experience.You will manage an existing team from day 1, optimize what works, rebuild what doesn’t, and design operations that can scale from 100 → 300+ hires per month across UAE, GCC, and global markets.Think of this role as part strategist, part operator, part “I can fix this in two days” leader.A balanced mix of fun startup energy + serious operational rigor. &nbsp;What You’ll Do &nbsp;Own the full recruitment delivery cycle<ul><li>Oversee sourcing, screening, assessments, and shortlisting across mixed seniority roles</li><li>Maintain exceptional candidate experience throughout the hiring journey</li><li>Ensure every shortlist delivered to clients feels fast, accurate, and high-quality</li></ul>Scale high-volume hiring operations<ul><li>Manage and expand the operations team based on performance and demand</li><li>Build SOPs, workflows, and QC processes that ensure consistent output</li><li>Handle 100–300+ hiring volume per month across multiple markets</li></ul>Be deeply data-driven<ul><li>Track sourcing channel performance and optimize for CAC</li><li>Build dashboards for visibility across each stage of the funnel</li><li>Prioritize channels and processes based on performance, not hunches</li></ul>Improve speed &amp; efficiency<ul><li>Ruthlessly reduce time-to-hire and fix bottlenecks across the pipeline</li><li>Improve conversion rates between every step of the recruitment process</li><li>Ensure SLA adherence across all client mandates</li></ul>Manual first → then automation<ul><li>Operate manually to validate what actually works</li><li>Then collaborate with product and engineering to automate smartly</li><li>Move toward a tech-enabled recruitment engine that compounds over time</li></ul>Own experience for candidates &amp; clients<ul><li>Deliver an end-to-end hiring process that candidates love</li><li>Ensure shortlist quality stays consistently high</li><li>Elevate client satisfaction, repeat business, and trust in Qureos delivery</li></ul>&nbsp;Your KPIs &nbsp;You’ll drive and be measured on:<ul><li>Time to hire</li><li>Sourcing channel performance &amp; CAC</li><li>Candidate experience (NPS/CSAT)</li><li>Quality of shortlist &amp; accuracy of matching</li><li>SLA adherence</li><li>Stage-by-stage conversion rates</li><li>Offer acceptance rate</li><li>Client satisfaction &amp; repeat business</li><li>If these KPIs make you excited rather than nervous, you’re our person. &nbsp;</li></ul>Who You Are &nbsp;<ul><li>5–7 years in recruitment operations, talent acquisition, or high-volume hiring</li><li>Strong background in sourcing, screening, assessments, and candidate engagement</li><li>Numbers-obsessed, you prioritize sourcing channels like a growth analyst</li><li>Hyper-focused on reducing time-to-hire and improving every stage of the funnel</li><li>Experienced in high-volume, multi-market operations</li><li>Comfortable running ops manually before automating</li><li>Skilled at building exceptional candidate experiences</li><li>A natural operator: structured, calm, process-oriented, and fast-moving</li><li>You think in systems, run on data, and execute with ownership</li><li>Bonus: experience in marketplace or fast-growth environments</li></ul> Tools &amp; Systems You will work across:<ul><li>The Qureos platform</li><li>AI tools</li><li>Internal automation systems &nbsp;</li></ul>Why Join Qureos &nbsp;<ul><li>Build the future of recruitment operations</li><li>Own a core function in a fast-scaling, well-funded startup</li><li>Work side-by-side with founders &amp; leadership</li><li>Meaningfully impact candidates and companies globally</li><li>High autonomy, high ownership, high speed</li><li>A culture that mixes ambition, kindness, and doing the best work of your career &nbsp;</li></ul>If This Sounds Like You…Apply. Let’s redesign recruitment operations together.&nbsp;&nbsp;

Head of Recruitment Ops

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Head of Recruitment Ops