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2026 - internship, quantitative research/trading

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data scientist, internship, united arab emirates - bcg x Jobs in Dubai

2026 - internship, quantitative research/trading Jobs in Dubai

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2026 internship quantitative research trading

Qube Research & Technologies

<div>
 <p>
  <strong>
   Programme duration:
  </strong>
  From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.
 </p>
 <p>
  <strong>
   Who qualifies:
  </strong>
  Penultimate or final year students completing a Bachelor's or a Master's degree.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qube Research &amp; Technologies (QRT)
  </strong>
  is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT&rsquo;s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
 </p>
 <p>
  Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.
 </p>
 <p>
  We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your future role at QRT
  </strong>
 </p>
 <p>
  Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Research
  </strong>
 </p>
 <p>
  Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities.
 </p>
 <p>
  Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Trading
  </strong>
 </p>
 <p>
  You will contribute to the live deployment of QRT&rsquo;s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for interns who are curious, creative, and collaborative. If you&rsquo;re passionate about learning, excited to take on challenges, and ready to make a real impact, you&rsquo;ll find plenty of opportunities to grow with us.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your present skillset
  </strong>
 </p>
 <ul>
  <li>
   Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering
  </li>
  <li>
   High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus
  </li>
  <li>
   Coding skills required in at least one leading programming language (Python and C++ or C#)
  </li>
  <li>
   Experience in exploring large datasets across multiple time frames is a plus
  </li>
  <li>
   Capacity to multi-task in a fast-paced environment while keeping strong attention to detail
  </li>
  <li>
   Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.
  </li>
  <li>
   Excellent communication skills
  </li>
  <li>
   Fluent in English, any other language is a plus
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Interviewing:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Apply online:
   </strong>
   applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests.
  </li>
  <li>
   <strong>
    Interviews
   </strong>
   conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance
  </em>
 </p>
</div>


2026 - Internship, Quantitative Research/Trading

Albert Bow

<div>
 <strong>
  Data Scientist (Quantitative Trading) &ndash; Dubai
  <br/>
  <br/>
 </strong>
 This is a pure quantitative trading role.
 <br/>
 <br/>
 We are hiring for a high-performing digital asset trading firm in Dubai. The position is focused on analysing trading and market data to directly improve live trading performance.
 <br/>
 <br/>
 If your background is primarily in corporate BI, HR analytics, marketing analytics, or general business reporting, this role will not be suitable.
 <br/>
 <br/>
 What You Will Do
 <br/>
 <br/>
 <ul>
  <li>
   Analyse large-scale trading and market datasets
  </li>
  <li>
   Work extensively with time-series financial data
  </li>
  <li>
   Evaluate and improve systematic trading strategies
  </li>
  <li>
   Design and run controlled experiments (A/B testing) on trading models
  </li>
  <li>
   Provide fast, data-driven insights to support live trading decisions
  </li>
  <li>
   Identify inefficiencies and performance drivers in trading activity
  </li>
  <li>
   Translate complex statistical analysis into practical trading improvements
   <br/>
   <br/>
  </li>
 </ul>
 Your work will directly influence trading outcomes.
 <br/>
 <br/>
 <strong>
  Essential Requirements
  <br/>
  <br/>
 </strong>
 Applications without the below experience will not be considered:
 <br/>
 <br/>
 <ul>
  <li>
   Degree in Mathematics, Physics, Economics, Computer Science, or similar quantitative discipline
  </li>
  <li>
   Strong probability and statistics knowledge
  </li>
  <li>
   Advanced SQL
  </li>
  <li>
   Strong Python for quantitative analysis
  </li>
  <li>
   Proficiency in C++
  </li>
  <li>
   Proven experience working with time-series data
  </li>
  <li>
   Direct exposure to trading, market, or financial datasets
   <br/>
   <br/>
  </li>
 </ul>
 Highly Desirable
 <br/>
 <br/>
 <ul>
  <li>
   Experience analysing systematic or algorithmic trading strategies
  </li>
  <li>
   Background in quantitative finance
  </li>
  <li>
   Understanding of market structure or microstructure
  </li>
  <li>
   Experience in crypto or digital asset markets
  </li>
  <li>
   Competitive mathematics background
   <br/>
   <br/>
  </li>
 </ul>
 What&rsquo;s Offered
 <br/>
 <br/>
 <ul>
  <li>
   Full visa sponsorship
  </li>
  <li>
   Relocation support to Dubai
  </li>
  <li>
   Flexible working hours aligned to European markets
  </li>
  <li>
   High-performance, research-driven environment
   <br/>
   <br/>
  </li>
 </ul>
 This role suits candidates who are comfortable in mathematically rigorous environments and motivated by measurable trading performance.
 <br/>
 <br/>
 If that describes you, I&rsquo;d be happy to discuss the opportunity confidentially.
 <br/>
 <br/>
</div>


Data Scientist (Quantitative Analyst)

StoneX Group

<div>Overview:
<div><b>
Overview</b></div><div><b>
Connecting clients to markets &ndash; and talent to opportunity</b></div><div>
With 4,300 employees and over 400,000 retail and institutional clients from more than 80 offices spread across five continents, we&rsquo;re a Fortune-100, Nasdaq-listed provider, connecting clients to the global markets &ndash; focusing on innovation, human connection, and providing world-class products and services to all types of investors.</div><div>
At StoneX, we offer you the opportunity to be part of an institutional-grade financial services network that connects companies, organizations, and investors to the global markets ecosystem. As a team member, you'll benefit from our unique blend of digital platforms, comprehensive clearing and execution services, personalized high-touch support, and deep industry expertise. Elevate your career with us and make a significant impact in the world of global finance.</div><div></div><div><b><br>
Business Segment Overview</b><b> : </b>StoneX business is divided into five business segments. These are explained briefly as below :-</div><div><b>
Institutional</b>: Immerse yourself in the best-in-class institutional-grade technology, working alongside industry experts and gaining exposure to various asset classes, such as equities, options, fixed income securities, and advanced trading, research, and management technology.</div><div><b>
Retail</b>: Empower individual investors &ndash; and yourself &ndash; in the world of retail through a range of different financial products rooted in innovation and market intelligence. From FX and CFDs to precious metals, master an exciting world of wealth management tools.</div><div><b>
Commercial</b>: With boots on the ground authenticity at the heart of everything we do, our comprehensive array of commercial products and services enable you to work directly with our clients, across hedging, risk management, execution and clearing, OTC products, commodity finance and more.</div><div><b>
Payments</b>: A Swift-accredited service bureau and member, our Payments division provides NGOs, institutions and non-profits the ability to make a local difference, globally &ndash; with transparent pricing across 180+ countries and 140+ currencies.</div><div>
 <b>Corporate Functions:</b> Engage in a deep variety of business-critical activities that keep our company running efficiently. From strategic marketing and financial management to human resources and operational oversight, you&rsquo;ll have the opportunity to optimize processes and implement game-changing policies.</div><div></div><div><b><br>
StoneX Internship</b></div><div></div><div><br>
Are you looking to gain real world experience in an entrepreneurial culture? Consider an internship at a thriving global financial services firm and <b><i>launch your career with StoneX</i></b>! A StoneX Internship will provide development, support, career growth, and an endless array of opportunities. You can expect to make an impact on the business and experience a career defining internship program.</div><div></div><div><b><br>
Internship Perks:</b></div><div></div><div><br>
In addition to the real-world experience, you&rsquo;ll gain at StoneX, we&rsquo;re excited to offer interns several perks which include the following:</div><ul><li><b>
Compensation</b>: All interns are paid at a competitive rate.</li><li><b>
Hybrid Model:</b> StoneX works on a hybrid model with the flexibility to work from home and in one of our fully equipped offices around the globe.</li><li><b>
Access to Senior Leaders:</b> Senior leaders are involved in the internship program from day one, delivering trainings, presenting on firm business, weekly leadership calls, and even attending socials.</li><li><b>
Training:</b> Virtual and in-person trainings to get interns onboarded and connected with the company globally.</li><li><b>
Mentorship:</b> Interns have a mentor and buddy to help answer any questions and work alongside during your internship.</li></ul>
Responsibilities:
<div><b>
Position / Department Purpose:</b></div><div></div><div><br>
The primary purpose of the Internship on the Energy Broking Desk is to provide hands-on exposure to the dynamic world of energy trading and broking. The intern will support the desk in daily operations, market analysis, and client servicing, gaining valuable insight into energy markets, financial instruments, and the regulatory environment within the Dubai International Financial Centre (DIFC). This role is designed to offer practical experience, foster professional growth, and develop key skills required for a future career in energy markets and financial services.</div><div></div><div><b><br>
Job responsibilities but not limited to :-</b></div><ul><li>
Market Research and Analysis: Conduct research on global and regional energy markets, track price movements, and prepare daily market summaries for internal and client use.</li><li>
Support Trade Execution: Assist brokers in preparing trade documentation, updating trade records, and ensuring accurate and timely processing of transactions.</li><li>
Client Support: Help respond to client queries, prepare presentations, and provide relevant market data and reports as required.</li><li>
Data Management: Maintain and update internal databases with current market data, trade information, and relevant industry news.</li><li>
Administrative Assistance: Support the Energy Broking Desk with general administrative tasks such as scheduling meetings, organizing files, and preparing documentation.</li><li>
Compliance and Regulatory Support: Assist in ensuring that all activities on the desk comply with DIFC regulations and company policies.</li><li>
Learning and Development: Participate in training sessions, workshops, and team meetings to develop a deeper understanding of energy products, financial instruments, and the brokerage business.</li><li>
Collaboration: Work closely with brokers, analysts, and other interns to support the overall objectives of the Energy Broking Desk</li></ul>
Qualifications:
<p><b>
StoneX Essential Qualifications</b></p><ul><li>
Ability to maintain confidentiality and appropriately handle sensitive information with tact and discretion</li><li>
Strong written and verbal communication skills.</li><li>
Effective interpersonal skills and a collaborative approach.</li><li>
High attention to detail and strong organizational ability.</li><li>
Analytical mindset and curiosity about data-driven marketing.</li><li>
Proficiency with Microsoft Office (especially Excel and PowerPoint).</li></ul><div></div><p><b><br>
Early Careers Requirements</b></p><br>
<p></p><ul><li>
Pursuing a bachelor&rsquo;s or master&rsquo;s degree from an accredited university in a relevant program and graduating by 2027 (entering penultimate year of university)</li><li>
Available to start in May / June 2026 on a 10 week program</li></ul><div></div><p><b><br>
Working environment</b>:</p><br>
<p></p><ul><li>
In-office (minimum 4 days in the office)</li></ul></div>

Intern - Energy Broking Desk

Binance

<div>
 Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
  </li>
  <li>
   Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
  </li>
  <li>
   Analyse data independently to deliver insights about operational performance and proactively drive improvements
  </li>
  <li>
   Write and optimize SQL queries to extract, clean, and analyze data from multiple data sources
  </li>
  <li>
   Act as a strategic data business partner to your stakeholders
  </li>
  <li>
   Support ad-hoc analysis requests from business and operational teams
  </li>
  <li>
   Be part of a fast-paced industry and organisation where time to market is critical
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
  </li>
  <li>
   4-6 years of full-time work experience in an Analytics or Business Intelligence role
  </li>
  <li>
   A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
  </li>
  <li>
   A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
  </li>
  <li>
   Prior internal/client-facing consulting/business transformation experience preferred.
  </li>
  <li>
   A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Competency in two or more of the following:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   An analytical software (e.g. R, SAS)
  </li>
  <li>
   A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
  </li>
  <li>
   A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
  </li>
  <li>
   Programming (e.g. VBA, C++, Java, Python)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Binance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Shape the future with the world&rsquo;s leading blockchain ecosystem
  </li>
  <li>
   Collaborate with world-class talent in a user-centric global organization with a flat structure
  </li>
  <li>
   Tackle unique, fast-paced projects with autonomy in an innovative environment
  </li>
  <li>
   Thrive in a results-driven workplace with opportunities for career growth and continuous learning
  </li>
  <li>
   Competitive salary and company benefits
  </li>
  <li>
   Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
   <br/>
   <br/>
  </li>
 </ul>
 Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
 <br/>
 <br/>
 <em>
  By submitting a job application, you confirm that you have read and agree to our
 </em>
 <strong>
  <em>
   Candidate Privacy Notice
  </em>
 </strong>
 <em>
  .
  <br/>
  <br/>
 </em>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Business Intelligence/ Data Analyst (MENA Region)

<div><div>Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li>
Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits</li><li>
Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives</li><li>
Analyse data independently to deliver insights about operational performance and proactively drive improvements</li><li>
Write and optimize SQL queries to extract, clean, and analyze data from multiple data sources</li><li>
Act as a strategic data business partner to your stakeholders</li><li>
Support ad-hoc analysis requests from business and operational teams</li><li>
Be part of a fast-paced industry and organisation where time to market is critical</li></ul><h3 class="jobSectionHeader"><b>
Requirements</b></h3><ul><li>
Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences</li><li>
4-6 years of full-time work experience in an Analytics or Business Intelligence role</li><li>
A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages</li><li>
A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication</li><li>
Prior internal/client-facing consulting/business transformation experience preferred.</li><li>
A passion for Emerging Technologies related to Blockchain, Machine Learning and AI</li></ul><div>
</div><div><b>
Competency in two or more of the following:</b></div><ul><li>
An analytical software (e.g. R, SAS)</li><li>
A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)</li><li>
A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)</li><li>
Programming (e.g. VBA, C++, Java, Python)</li></ul><div></div><div><b><br>
Why Binance</b></div><ul><li>Shape the future with the world&rsquo;s leading blockchain ecosystem</li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle unique, fast-paced projects with autonomy in an innovative environment</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)</li></ul><div></div><div><br>
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</div><div><i>
By submitting a job application, you confirm that you have read and agree to our </i><b><i>Candidate Privacy Notice</i></b><i>.</i></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Symbiotic

<div><p><b>About Symbiotic</b><br>
<br>
Symbiotic is the universal staking protocol enabling protocols to streamline decentralizing their stack. Symbiotic enables creating fully custom or templated staking integrations leveraging any asset and features such as slashing, redistribution, (liquid) restaking, as well as native staking. Over 40 teams including Spark, Hyperlane, and Avail are building on Symbiotic&rsquo;s universal staking primitives secured by over $1bn in TVL.</p><p>
You can find more information about what we're building and how we're doing it here.<br>
<br>
<b>Our People</b><br>
<br>
We're a tight-knit team of experienced individuals at the forefront of crypto infrastructure. Our backgrounds range from security auditing and smart contract development to node operation, and we're supported by Pantera Capital, Paradigm and CyberFund.</p><p>
We're on the hunt for talented professionals to join our mission and strengthen our awesome team.</p><p>
This is a fully remote role open to candidates worldwide. We have a preference for candidates in GMT or US timezones to ensure overlap with the core team.<br>
<br>
<b>We will only consider candidates with web3/crypto experience.
</b></p><p></p><p><b>What You'll Do:</b></p><ul><li><p>
Analyze on-chain trading activity at scale to understand user behavior, capital flows, liquidity dynamics, and protocol performance across smart contracts and blockchain networks.</p></li><li><p>
Model addresses trading activities and portfolio behavior (positions, fees, PnL, capital efficiency, APR/APY, impermanent losses, etc) using on-chain and market data.</p></li><li><p>
Extract and structure DEX and CEX data, integrating trade-level, liquidity, and pricing data to evaluate execution quality, market structure, and user strategies.</p></li><li><p>
Query and combine internal and external data sources (e.g., Dune, internal warehouses, APIs, exchange data) to build reliable datasets for research and decision-making.</p></li><li><p>
Conduct market-focused research on liquidity design, incentive structures, token emissions, staking models, and competitive positioning across protocols.</p></li><li><p>
Design and build AI-driven research pipelines that integrate on-chain data, market data, and LLMs to automate trading analysis, performance tracking, and recurring business workflows.</p></li><li><p>
Translate complex market data into actionable insights, supporting product decisions around incentives, liquidity growth, risk, and capital allocation.</p></li><li><p>
Collaborate with product, engineering, and business teams to evaluate strategy, optimize capital efficiency, and improve trading-related metrics.</p></li></ul><p></p><p><b>
Who You Are:</b></p><ul><li><p>
You have a strong background in financial markets data and/or trading, with solid understanding of portfolio management, liquidity, market structure, and risk.</p></li><li><p>
You have a strong data analysis background and are comfortable working with large, complex trading datasets.</p></li><li><p>
You understand both DEX and CEX mechanics, including AMMs, order books, liquidity provision, incentives, and fee structures.</p></li><li><p>
You are a power user of Dune, able to independently explore blockchain datasets, write and optimize complex SQL queries, and derive market insights.</p></li><li><p>
You&rsquo;re proficient in SQL and Python, with hands-on experience using pandas (or similar frameworks) for portfolio, PnL, and performance analysis.</p></li><li><p>
You can move from raw trading data to structured insights on capital efficiency, strategy performance, and protocol dynamics.</p></li><li><p>
You work in an AI-native way, leveraging LLMs and modern tools to accelerate research, modeling, and workflow automation.</p></li><li><p>
You&rsquo;re comfortable operating in a fast-moving, ambiguous environment, taking ownership from hypothesis to final insight.</p></li></ul><h3 class="jobSectionHeader"><b>
Nice to have:</b></h3><ul><li><p>
Experience in software development, such as data engineering, backend systems, smart contracts (Solidity), or machine learning.</p></li><li><p>
Experience building data pipelines or trading analytics infrastructure.</p></li><li><p>
Hands-on experience interacting with smart contracts or DeFi protocols directly.</p></li><li><p>
Experience collaborating closely with product or trading teams on capital strategy and performance optimization.</p></li></ul><p></p><p>
Attention Job Seeker! Job scams are unfortunately common in our industry. A few things to note:</p><ul><li><p>
All interviews are conducted on Google Meet; never on Discord, Zoom, or any other platform.</p></li><li><p>
We will always contact you from an <b>@</b><b>symbiotic.fi</b> email address.</p></li><li><p>
If you&rsquo;re ever in doubt, reach out directly to <b>nick@symbiotic.fi</b>.</p></li></ul></div><p></p>

Trading & Onchain Data Analyst

Alaan الآن

<div>
 <strong>
  About Alaan
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Alaan is the Middle East&rsquo;s first AI-powered spend management platform, built to help businesses save time and money.
   <br/>
   <br/>
  </strong>
 </strong>
 Our all-in-one solution combines smart corporate cards, real-time expense tracking, AI-powered automation, seamless accounting integrations, and deep financial insights- designed to simplify finance operations and maximize control over company spend.
 <br/>
 <br/>
 Founded in 2022, Alaan is already the trusted partner of over 2000 leading businesses across the UAE and KSA, including G42, Careem, McDonald&rsquo;s, Tabby, Al Barari, Rove Hotels, Rivoli, and CarSwitch. Together, our customers have saved over AED 100 million with Alaan.
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 In just three years, Alaan has become the #1 expense management platform in the Middle East- and we&rsquo;ve done it while becoming profitable.
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 <br/>
 Alaan is also backed by Y Combinator and top global investors, including Peak XV (formerly Sequoia India &amp; SEA), and built by a world-class team with experience from McKinsey, BCG, Goldman Sachs, Careem, Rippling, and other high-growth companies. This creates an environment where employees learn from top-tier talent while building at startup speed.
 <br/>
 <br/>
 We&rsquo;re not just building software. We&rsquo;re reimagining how finance works for modern businesses across the region.
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 <br/>
 <strong>
  <strong>
   Data Analyst Intern
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  <strong>
   Data Analyst Intern
  </strong>
 </strong>
 to act as a key analytical partner for our team. You will analyze company-wide data, build dashboards, and generate insights that drive real business decisions.
 <br/>
 <br/>
 We are looking for someone who loves to generate hypotheses, conduct deep-dive research, and visualize findings to tell a compelling story. This is a perfect role for someone who wants to solve real-world business challenges and see their work directly impact company strategy.
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 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive Decisions: Analyze company-wide data and create dashboards to guide critical business decisions.
  </li>
  <li>
   Cross-Functional Collaboration: Partner with different teams to understand their data needs and provide actionable recommendations.
  </li>
  <li>
   Hypothesis &amp; Research: Proactively generate hypotheses regarding customer and product performance, conduct research to validate them.
  </li>
  <li>
   Data Storytelling: Dig into complex datasets to identify trends and translate them into clear, visual narratives for both technical and non-technical stakeholders.
  </li>
  <li>
   Data Excellence: Help optimize data workflows, troubleshoot discrepancies, and ensure the integrity of our data environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Are Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Education &amp; Experience: A recent graduate in a quantitative field (e.g., Stats, CS, Math, Economics) or someone with previous internship experience who genuinely loves data
  </li>
  <li>
   Analytical Mindset: You excel at analyzing data, identifying root causes, and drawing actionable insights through a structured problem-solving approach.
  </li>
  <li>
   Technical Skills:
  </li>
  <li>
  </li>
  <ul>
   <li>
    Skilled in SQL and working with relational databases
   </li>
   <li>
    Proficient in data visualization tools (Metabase, Tableau, Power BI, or similar)
   </li>
   <li>
    Knowledgeable in Python (Pandas, Numpy, Matplotlib, etc.) for deeper data analysis
   </li>
  </ul>
  <li>
   Communication: You can clearly convey complex data insights to both technical and non-technical stakeholders.
  </li>
  <li>
   Collaboration: You thrive in diverse teams and contribute positively to a dynamic, fast-paced work.
  </li>
 </ul>
</div>


Data Analyst Intern

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