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quantitative researcher

Durlston Partners

<div></div><div><div><div><div>AI - ML, Alpha/Signal Generation, Data Science, Discretionary Trading &amp; Research, Finance, Portfolio Management, Quantitative Developer, Systematic Trading &amp; Research, Trading
</div><div>$850,000
</div><div>Abu Dhabi, Amsterdam, Australia, California, Cayman Islands, Chicago, Dubai, Europe, France, Hong Kong, India, London, Middle East, Netherlands, New York, Remote, Singapore, Switzerland, Sydney, UK, USA, Zug, Zurich</div><div> 
</div></div></div><div><div><div>Quantitative Researcher &ndash; APAC, US, Europe, London, UAE, Remote

Durlston Partners is working with several top-tier Systematic Trading firms that are looking for Quant Researchers, where you&rsquo;ll develop statistical models, uncover market inefficiencies, and work closely with engineers and traders to bring strategies from idea to production.

What You&rsquo;ll Do:
<ul>
<li>Research, design, and test systematic trading strategies</li>
<li>Analyse large, noisy datasets to identify predictive signals</li>
<li>Build and refine models using statistical, ML, or econometric techniques</li>
<li>Collaborate with engineering to deploy and monitor live strategies</li>
</ul>
What They&rsquo;re Looking For:
<ul>
<li>Strong quantitative background (math, physics, CS, statistics)</li>
<li>Proficiency in Python, R, or similar research languages</li>
<li>Experience with statistical modeling, time-series analysis, or machine learning</li>
<li>Curiosity, rigor, and a passion for data-driven decision-making</li>
</ul>
Perks:
<ul>
<li>Highly competitive pay and bonuses</li>
<li>Cutting-edge tech and challenging problems</li>
<li>Strong project ownership</li>
<li>Great benefits package</li>
</ul>
How to:
Please<ul><li> to the advert to register your interest. Alternatively, please feel free to reach out to me for a confidential discussion: david@durlstonpartners.com</li></ul></div></div></div></div>

Quantitative Researcher

ALTÉRRA

<div>
 
 
 Firm Overview
 
 
 
 
 
 
 ALT&Eacute;RRA is a $30 billion catalytic climate investment fund designed to mobilize capital at scale and accelerate the transition to a climate-resilient economy. Our mission is to activate and expand the global climate finance ecosystem by stimulating innovation, unlocking private capital, and reducing investment barriers in emerging markets and developing economies (EMDEs).
 
 
 
 
 
 With a strong emphasis on actionable, high-impact investments, ALT&Eacute;RRA deploys capital through a combination of fund investments, co-investments, and direct investments, supporting best-in-class managers and projects that align with our climate and financial objectives. Alterra Management Limited, based in ADGM and regulated by the ADGM Financial Services Regulatory Authority, serves as the investment manager for the fund.
 
 
 
 
 
 
 Role Overview:
 
 
 
 The successful candidate will support the strategy and impact team in presentations, other material preparation, analytical and data work. This entry-level role is ideal for recent graduates with strong analytical skills, a willingness to learn, interest for climate issues, and relevant project or extracurricular experience.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Help prepare presentations, initial technical analyses and screenings of investment opportunities from an impact perspective, using quantitative methods and data analytics.
 </li>
 <li>
 Participate in research deep dives and analysis related to specific strategy, sectors or themes.
 </li>
 <li>
 Collect, clean, and analyse datasets related to climate/impact performance, applying statistical and machine learning techniques where appropriate.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in economics, environmental science, data science, sustainable business, finance, or a related field.
 </li>
 <li>
 Extracurricular involvement or project experience in climate impact, sustainability, data analytics, or related areas (e.g., university research projects, student organizations, internships, hackathons).
 </li>
 <li>
 Experience preparing technical reports, dashboards, or presentations (academic or extracurricular).
 </li>
 <li>
 Technical proficiency or familiarity with climate science, environmental policies, and sustainability frameworks is a plus.
 </li>
 <li>
 Experience or coursework in data analytics tools and programming languages (e.g., Python, R, SQL) and data visualization platforms (e.g., Power BI, Tableau) is desirable.
 </li>
 <li>
 Strong analytical and quantitative skills, with the ability to interpret and communicate complex data to both technical and non-technical audiences, both in writing and presentations.
 </li>
 <li>
 Eagerness and ability to learn quickly and adapt, take initiative, and contribute
 </li>
 <li>
 Collaborative team player, able to work effectively in a fast-paced, cross-functional environment.
 </li>
 </ul>
 
 
</div>

Data Scientist

ALDAR

<div>
 
 
 Aldar Retail Management
 
 is looking for a
 
 Customer Experience (CX) Analyst
 
 to support the implementation of our CX strategy by analyzing customer feedback, generating actionable insights, and tracking performance across all touchpoints. This role plays a key part in delivering seamless, engaging experiences for our guests, coordinating CX initiatives, and managing customer issue tickets across the business.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 CX Insights &amp; Reporting
 
 
 <ul>
 <li>
 Analyze customer feedback from surveys, social media, emails, service desks, websites, and mystery shopping.
 </li>
 <li>
 Prepare regular reports tracking
 
 NPS, CSAT, CES, complaint trends, and mystery shopper results
 
 , and respond to ad-hoc data requests.
 </li>
 <li>
 Identify trends, pain points, and opportunities using quantitative and qualitative methods.
 </li>
 <li>
 Develop presentations and share actionable insights with internal stakeholders to drive improvements.
 </li>
 <li>
 Collaborate with Customer Service teams and CX platform managers to ensure data quality and consistency.
 </li>
 </ul>
 
 
 Operational Excellence &amp; Service Delivery
 
 
 <ul>
 <li>
 Monitor and manage customer tickets and complaints, ensuring timely follow-up and resolution.
 </li>
 <li>
 Collaborate across departments and escalate issues when necessary.
 </li>
 <li>
 Generate monthly reports on resolution times, SLA compliance, and recurring issues.
 </li>
 <li>
 Conduct root-cause analyses and recommend process improvements.
 </li>
 <li>
 Support adoption of CX tools and processes that enhance guest convenience and accessibility.
 </li>
 </ul>
 
 
 CX Activations &amp; Engagement Support
 
 
 <ul>
 <li>
 Assist in planning, coordination, and execution of CX activations, events, and in-mall initiatives.
 </li>
 <li>
 Track participation, engagement, and feedback to measure success.
 </li>
 <li>
 Coordinate with vendors and internal teams to ensure seamless delivery of initiatives.
 </li>
 </ul>
 
 
 Stakeholder Engagement &amp; Collaboration
 
 
 <ul>
 <li>
 Work closely with Retail Marketing, Leasing, Operations, and Development teams to integrate customer insights.
 </li>
 <li>
 Provide timely and actionable reports to management to support decision-making and performance tracking.
 </li>
 </ul>
 
 
 Key Metrics &amp; Results
 
 
 <ul>
 <li>
 
 Customer Satisfaction:
 
 NPS, CSAT, Mystery Shopper results
 </li>
 <li>
 
 Service Quality:
 
 SOP adherence, complaint resolution times, operational audits
 </li>
 <li>
 
 Stakeholder Engagement:
 
 Retailer feedback, cross-department collaboration
 </li>
 <li>
 
 Brand Impact:
 
 CX awards, PR mentions, guest testimonials
 </li>
 </ul>
 
 
 Working Conditions
 
 
 <ul>
 <li>
 Based at
 
 Yas Mall HQ
 
 with daily interaction across multiple mall locations.
 </li>
 <li>
 Occasional travel may be required between locations depending on portfolio scope.
 </li>
 <li>
 High-touch role requiring presence during operational hours, including weekends.
 </li>
 </ul>
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 
 Experience:
 
 3&ndash;5 years in
 
 Customer Experience, Data Analytics, Market Research, or related fields
 
 . Retail, shopping mall, or hospitality experience preferred.
 </li>
 <li>
 
 Skills:
 
 Data analytics, qualitative &amp; quantitative research, customer journey mapping, stakeholder influence. Familiarity with CX tools (Qualtrics, Power BI, Tableau) is a plus.
 </li>
 <li>
 
 Interpersonal Skills:
 
 Strong communication and presentation skills, collaborative mindset, highly organized, proactive, and detail-oriented.
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in
 
 Business, Marketing, Statistics, Data Analytics, or related discipline
 
 . CX certification is a plus.
 </li>
 </ul>
 
 
</div>

Customer Experience Analyst – Retail_ Aldar Retail Management

Velosi Integrity & Safety Pakistan (Pvt.) Ltd.

<div>
 <ul>
 <li>
 Must hold a Bachelor&rsquo;s Degree in Civil or Structural Engineering from a well-reputed university.
 </li>
 <li>
 Open to recent graduates from the Classes of 2024 and 2025 with a minimum CGPA of 3.0/4.0.
 </li>
 <li>
 Should have foundational knowledge of structural analysis and design software such as ETABS, SAFE, SAP2000, STAAD Pro, AutoCAD, or Revit.
 </li>
 <li>
 Must be familiar with relevant design codes and standards (ACI, AISC, ASCE, etc.).
 </li>
 <li>
 Must possess strong computer skills, including MS Office (Word, Excel, PowerPoint).
 </li>
 <li>
 Should be able to work collaboratively within a team environment.
 </li>
 <li>
 Must have strong communication skills in English&mdash;both written and verbal.
 </li>
 <li>
 Should demonstrate leadership potential through internships, academic projects, or extracurricular activities.
 </li>
 <li>
 Must maintain a strong academic record.
 </li>
 <li>
 Should be capable of working effectively with team members at all organizational levels.
 </li>
 <li>
 Must have excellent analytical, quantitative, and problem-solving abilities.
 </li>
 </ul>
</div>

Fresh Civil / Structural Engineers

Delta Medical Est

JOB DESCRIPTION FOR FAMILY PHYSICIAN<ul><li>Creating patient health programs using historical data</li><li>Track individualized health programs</li><li>Provide comprehensive wellness examinations</li><li>Administer immunizations and vaccinations</li><li>Referring patients to other providers for specialized treatment</li><li>Schedule and administer follow up examinations</li><li>Educating patients in wellness programs</li><li>Supervising and managing a staff of nurses and medical assistants</li><li>Building long-term relationships with patients</li><li>Treating a wide range of medical issues</li><li>Coordinating care with other medical professionals</li><li>Caring for the whole patient, including mental and emotional concerns</li><li>Building long-term relationships with their parents</li><li>Providing information and techniques to help patients control their own health choices</li><li>Focusing on illness prevention as well as treatment of it</li></ul>SKILLS AND QUALIFICATIONS:<ul><li>DOH LICENSED</li><li>Training in medical areas such as pediatrics, surgery, neurology, psychiatry, internal medicine, gynecology, and community medicine.</li><li>Excellent written and spoken communication skills.</li><li>Caring, attentive nature.</li><li>Good interpersonal skills.</li><li>Excellent quantitative skills.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>License/Certification:<ul><li>DOH LICENSE (Required)</li></ul>

Family Physician

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are looking for a Data Scientist to apply advanced analytical techniques to vast industrial datasets. You will build predictive models that drive efficiency, safety, and profitability across the organization's operations.Responsibilities<ul><li>Conduct exploratory data analysis (EDA) on large, complex datasets to identify trends and patterns.</li><li>Develop, train, and validate predictive models and machine learning algorithms to solve specific business problems.</li><li>Collaborate with domain experts (e.g., engineers, geologists) to understand data context and feature engineering requirements.</li><li>Apply statistical methods to test hypotheses and quantify uncertainty in model predictions.</li><li>Visualize and communicate findings to stakeholders, translating technical results into actionable business insights.</li><li>Continuously research and experiment with new algorithms and techniques to improve model performance.</li><li>Clean and preprocess data to ensure high-quality inputs for modeling.</li></ul>Requirements<ul><li>Experience: 2&ndash;8 Years .</li><li>Strong background in statistics, mathematics, or a related quantitative field.</li><li>Proficiency in Python or R for data analysis and modeling.</li><li>Experience with a wide range of ML techniques (Regression, Classification, Clustering, Time-series forecasting).</li><li>Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly).</li><li>Strong problem-solving skills and the ability to work with unstructured data.</li></ul>Bonus<ul><li>Experience with geospatial data analysis.</li></ul>Job Type: Full-timePay: AED10,000.00 - AED15,000.00 per month

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