accountant

quantity surveyor

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business analyst

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quantitative analyst

Fuse Energy

<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.
 
 
 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>
</div>

Quantitative Researcher

TikTok

Data analysis
 
Data Analyst - TikTok LIVE - Dubai
 
Location
 :
 
Dubai
 
Employment Type
 :
 
Regular
 
Job Code
 :
 
A251921
 
Responsibilities
 
The MENAT LIVE Eco Growth & Governance Team leads various cross-functional projects. Our key initiatives include developing strategic plans to drive widespread adoption of LIVE at scale among creators, localizing new product features, creating user engagement strategies, ensuring a positive creator experience through education on the Community Guidelines and best practices, and providing ad hoc analysis and support to cross-functional partners.
 
We're looking for a Data Analyst to join our dynamic LIVE team. In this role, you’ll uncover insights and deliver data-driven recommendations that directly impact how we grow and support our creator ecosystem. You'll work cross-functionally with product, strategy, and operations teams to shape our growth priorities using data and analytical thinking.
 
<ul>
<li>Handle a large amount of complex data, solve technical and statistical challenges, and drive business impact;</li>
<li>Design an indicator framework to measure the health status of the product, continuously track core indicators, and understand the root causes of indicator changes;</li>
<li>Promote the initiation of decisions based on data experiments, and rigorously measure the impact of product or technology changes;</li>
<li>Validate hypotheses, identify product growth opportunities, and influence the direction of improvement through analysis, experimentation, or other scientific methods;</li>
<li>Work with engineers and product stakeholders to provide product insights and strategies.</li>
</ul>
Qualifications
 
Minimum Qualifications: 
<ul>
<li>Bachelor's degree in data science, statistics, econometrics, quantitative sociology, or a related scientific major, with more than 3 years of relevant work experience;</li>
<li>Professional knowledge in SQL and Python or R programming;</li>
<li>Strong analytical and causal reasoning skills, as well as a strict demand for statistical accuracy;</li>
<li>Fluent in English in order to communicate with global business stakeholders.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Strong communication and teamwork skills;</li>
<li>Passion for social media products and a deep curiosity for in-depth research.</li>
</ul>
Job Information
 
About TikTok
 
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
 
​
 
Why Join Us
 
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
 
​
 
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
​
 
​
 
Diversity & Inclusion
 
​
 
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Data Analyst - TikTok LIVE - Dubai

Moreton Capital Partners

<div><h3 class="jobSectionHeader">Quant Developer &ndash; Systematic Commodities Hedge Fund</h3>
Moreton Capital Partners is seeking a talented Quant Developer to join our team at the ground floor of an ambitious build. We are launching live trading across global commodity futures, supported by an investment process rooted in machine learning. 
 
This is a unique opportunity to work directly with the global team, owning infrastructure that takes research ideas to production in a fast-moving, real capital environment.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Build and maintain data pipelines ingesting futures, options, and alternative datasets (from price data from Bloomberg and vendor feeds to unstructured data).</li>
<li>Improve backtesting framework (event-driven simulations, realistic slippage/costs, walk-forward validation, portfolio performance analysis).</li>
<li>Support research tooling: feature libraries, experiment tracking, artefact storage.</li>
<li>Machine learning cloud and local execution and optimization setup.</li>
<li>Productionize signals into the live trading stack with CI/CD, monitoring, and version control.</li>
<li>Develop dashboards and alerting for data quality, latency, and model drift.</li>
<li>Collaborate with researchers to translate hypotheses into robust, testable experiments, as well as enhance proposed process computationally.</li>
</ul>
Requirements<ul><li>
Fluency in Python and SQL; clean, testable code is a must.</li></ul><ul>
<li>Experience with data engineering (Airflow, Snowflake, pandas, polars workflows).</li>
<li>Prior exposure to systematic trading, backtesting, or market data pipelines.</li>
<li>Familiarity with cloud environments (AWS), containers (Docker), and CI/CD.</li>
<li>Self-starter with the ability to work autonomously in a lean, high-ownership environment.</li>
<li>Bachelors in CS/Comp-Eng or computationally heavy subject matter, and ideally, a minor in Finance.</li>
</ul>Bonus points for:<ul>
<li>Commodities or macro markets exposure.</li>
<li>Systematic medium term investment exposure.</li>
<li>Experience with ML Ops tools (MLflow, Weights &amp; Biases), feature stores, or model monitoring.</li>
<li>Front-end skills (TypeScript/React) to help build researcher dashboards.</li>
</ul>Benefits<ul>
<li>
Impact from day one: You&rsquo;ll be building mission-critical infrastructure for a fund that begins live trading this year for large institutional investors.</li>
<li>Direct exposure: Work alongside the CIO and senior researchers, with a direct line to decision-making.</li>
<li>Learning curve: Deep exposure to commodity markets, ML research workflows, and institutional-grade trading systems.</li>
<li>Growth trajectory: Clear path to increased scope and compensation as the fund scales with institutional AUM.</li>
<li>Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.</li>
<li>Positive, inclusive and encouraging work environment.</li></ul></div>

Quant Developer - Systematic Commodities Hedge Fund

First Abu Dhabi Bank (FAB)

<div>
 
 Company Description
 
 
 
 FAB, the UAE's largest bank and one of the world's most secure financial institutions, is dedicated to creating value for its employees, customers, shareholders, and communities. Through innovation, agility, and differentiation, FAB is committed to fostering growth.
 
 
 We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry.
 
 
 
 Job Description
 
 
 
 
 Core Responsibilities
 
 
 :
 
 
 
 <ul>
 <li>
 Work closely with business segments within PBG so that they can leverage the power of analytics capabilities and turn analytic insights recommendations to support acquisition, cross-sell, up-sell, retention and win back
 </li>
 <li>
 Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, Designs experiments, and test business hypotheses.
 </li>
 <li>
 Identify what data is available and relevant in the bank for analytics opportunities, including internal and external data sources, leveraging new data collection processes such as geo-location data, unstructured data sources such emails, log files, social media etc.
 </li>
 <li>
 Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.
 </li>
 <li>
 Utilize patterns and variations in the volume, speed and other characteristics of data supporting the initiative, the type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
 
 
 </li>
 </ul>
 Provide on-going tracking and monitoring of performance of decision systems and statistical models built by the data science unit.
 
 
 
 Qualifications
 
 
 
 
 Minimum Qualification:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.
 </li>
 <li>
 Additional degree or certifications in the field related to the data science/Analytics is preferred.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 <ul>
 <li>
 Minimum 2 years of experience in a large Analytics or BI function in a financial services organization with relevant quantitative and qualitative research and analytics experience
 </li>
 <li>
 Experience and an understanding of a wide variety of analytical processes.
 
 
 </li>
 </ul>
 Excellent written and verbal communication skills.
 
 
 Additional Information
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 SAS (Base SAS,EMiner ,EG)
 </li>
 <li>
 Python
 </li>
 <li>
 Databricks and Dataiku platform knowledge is a plus
 </li>
 <li>
 Statistical modelling, Machine Learning and AI(Pattern recognition, Natural language processing)
 </li>
 <li>
 Data Visualization (Power BI)
 </li>
 <li>
 Deep learning frameworks (Tensorflow/pytorch/Maxnet)
 </li>
 </ul>
</div>

Specialist- Data Scientist

Symbiotic

<div>About Symbiotic 
 
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.
You can find more information about what we're building and how we're doing it here. 
 
Our People 
 
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.
We're on the hunt for talented professionals to join our mission and strengthen our awesome team.
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. 
 
We will only consider candidates with web3/crypto experience.
What You'll Do:<ul><li>
Analyze on-chain trading activity at scale to understand user behavior, capital flows, liquidity dynamics, and protocol performance across smart contracts and blockchain networks.</li><li>
Model addresses trading activities and portfolio behavior (positions, fees, PnL, capital efficiency, APR/APY, impermanent losses, etc) using on-chain and market data.</li><li>
Extract and structure DEX and CEX data, integrating trade-level, liquidity, and pricing data to evaluate execution quality, market structure, and user strategies.</li><li>
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.</li><li>
Conduct market-focused research on liquidity design, incentive structures, token emissions, staking models, and competitive positioning across protocols.</li><li>
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.</li><li>
Translate complex market data into actionable insights, supporting product decisions around incentives, liquidity growth, risk, and capital allocation.</li><li>
Collaborate with product, engineering, and business teams to evaluate strategy, optimize capital efficiency, and improve trading-related metrics.</li></ul>
Who You Are:<ul><li>
You have a strong background in financial markets data and/or trading, with solid understanding of portfolio management, liquidity, market structure, and risk.</li><li>
You have a strong data analysis background and are comfortable working with large, complex trading datasets.</li><li>
You understand both DEX and CEX mechanics, including AMMs, order books, liquidity provision, incentives, and fee structures.</li><li>
You are a power user of Dune, able to independently explore blockchain datasets, write and optimize complex SQL queries, and derive market insights.</li><li>
You&rsquo;re proficient in SQL and Python, with hands-on experience using pandas (or similar frameworks) for portfolio, PnL, and performance analysis.</li><li>
You can move from raw trading data to structured insights on capital efficiency, strategy performance, and protocol dynamics.</li><li>
You work in an AI-native way, leveraging LLMs and modern tools to accelerate research, modeling, and workflow automation.</li><li>
You&rsquo;re comfortable operating in a fast-moving, ambiguous environment, taking ownership from hypothesis to final insight.</li></ul><h3 class="jobSectionHeader">
Nice to have:</h3><ul><li>
Experience in software development, such as data engineering, backend systems, smart contracts (Solidity), or machine learning.</li><li>
Experience building data pipelines or trading analytics infrastructure.</li><li>
Hands-on experience interacting with smart contracts or DeFi protocols directly.</li><li>
Experience collaborating closely with product or trading teams on capital strategy and performance optimization.</li></ul>
Attention Job Seeker! Job scams are unfortunately common in our industry. A few things to note:<ul><li>
All interviews are conducted on Google Meet; never on Discord, Zoom, or any other platform.</li><li>
We will always contact you from an @symbiotic.fi email address.</li><li>
If you&rsquo;re ever in doubt, reach out directly to nick@symbiotic.fi.</li></ul></div>

Trading & Onchain Data Analyst

Daman Investments

<div>
 
 
 
 Job Overview
 
 
 
 
 
 
 
 The Analyst plays a critical role in supporting investment management and advisory activities. This job includes conducting comprehensive financial and market analysis, building robust financial models, supporting transaction execution, preparing pitch materials, and contributing to due diligence processes. The Analyst will work closely with internal teams and external stakeholders to ensure effective delivery of investment services and maintain high standards of financial insight and executional excellence.
 
 
 
 
 
 
 
 Job Responsibilities
 
 
 
 
 
 
 
 
 Market Research and Industry Analysis
 
 
 <ul>
 <li>
 Conduct comprehensive research on global and regional macroeconomic trends, sector-specific developments, and competitive landscapes.
 </li>
 <li>
 Stay abreast of industry news, regulatory changes, and market signals to inform investment strategies and client advisory.
 </li>
 <li>
 Perform qualitative and quantitative assessments of sectors and companies to identify emerging risks and opportunities.
 </li>
 </ul>
 
 
 
 
 
 Financial Analysis and Modelling
 
 
 <ul>
 <li>
 Analyse company financials, including income statements, balance sheets, and cash flow statements, to assess operational performance and financial health.
 </li>
 <li>
 Develop and maintain detailed financial models to support investment decisions, including forecasts, scenario analyses, and pro forma financial statements.
 </li>
 <li>
 Execute valuation methodologies such as Discounted Cash Flow (DCF), Comparable Company Analysis, Precedent Transaction Analysis, and Leveraged Buyout (LBO) models to determine asset and company values.
 </li>
 <li>
 Conduct sensitivity analyses and benchmarking exercises to test model assumptions and assess risk exposures.
 </li>
 </ul>
 
 
 
 
 
 Transaction Execution and Deal Support
 
 
 <ul>
 <li>
 Assist in the end-to-end execution of investment banking and advisory mandates, including M&amp;A, IPOs, and capital raising transactions.
 </li>
 <li>
 Support deal origination efforts by preparing pitch decks, teasers, and client-facing presentations. Coordinate internal due diligence and liaise with cross-functional teams to ensure timely and accurate data collation.
 </li>
 <li>
 Manage data rooms and facilitate Q&amp;A processes with clients, advisors, and counterparties during live transactions. Investment Evaluation and Risk Assessment
 </li>
 <li>
 Conduct independent assessments of potential investment opportunities across multiple asset classes, including structured finance, private credit, real assets, private equity, venture capital, direct and fund investments.
 </li>
 <li>
 Evaluate investment risks and returns, present investment recommendations, and prepare internal investment memos for decision-making committees.
 </li>
 <li>
 Support the development of risk mitigation strategies aligned with the firm&rsquo;s investment policy and risk appetite. Reporting, Monitoring, and Performance Tracking
 </li>
 <li>
 Track key performance indicators (KPIs) for portfolio companies and investment mandates, highlighting variances and proposing corrective measures.
 </li>
 <li>
 Maintain dashboards and reporting tools to support ongoing monitoring and performance evaluation.
 </li>
 <li>
 Provide regular updates on market movements and portfolio impact to internal stakeholders and clients.
 </li>
 </ul>
 
 
 
 
 
 Business Development and Client Interaction
 
 
 <ul>
 <li>
 Participate in client interactions to gather information, understand strategic goals, and respond to queries or data requests.
 </li>
 <li>
 Support the preparation of client engagement materials to drive business development and relationship management efforts.
 </li>
 <li>
 Assist in identifying cross-sell opportunities within the firm&rsquo;s broader financial services ecosystem.
 </li>
 </ul>
 
 
 
 
 
 Operational and Administrative Support
 
 
 <ul>
 <li>
 Ensure all transaction documentation is accurately recorded and filed in accordance with internal controls and compliance standards.
 </li>
 <li>
 Provide general administrative and coordination support to the Investment Management &amp; Advisory team as needed.
 </li>
 <li>
 Maintain organized records and assist in audit and compliance reviews related to investment activities.
 </li>
 </ul>
 
 
 
 
 
 Governance, Compliance, and Ethical Conduct
 
 
 <ul>
 <li>
 Ensure full adherence to internal policies, regulatory requirements, and industry best practices in all aspects of the role.
 </li>
 <li>
 Demonstrate professionalism and uphold the firm&rsquo;s values in all client and team interactions. Exercise sound judgment and ethical decision-making in high-pressure and confidential situations.
 </li>
 <li>
 General Accountabilities
 </li>
 <li>
 Uphold company values throughout business practices and utilise sound judgment in decision making.
 </li>
 <li>
 Any other additional duties as may be required by management based on needs of the business.
 </li>
 </ul>
 
 
 
 
 
 
 Experience Required
 
 
 
 
 
 
 <ul>
 <li>
 Minimum 1-3 years of relevant experience in financial analysis, investment banking, private equity, corporate finance, or a similar environment.
 </li>
 <li>
 Demonstrated expertise in financial modelling, valuation, and analytical tools.
 </li>
 <li>
 Bachelor&rsquo;s degree in Finance, Accounting, Economics, or a related discipline
 </li>
 </ul>
</div>

Investment Analyst

<div>
 
 Responsibilities
 
 
 The MENAT LIVE Eco Growth &amp; Governance Team leads various cross-functional projects. Our key initiatives include developing strategic plans to drive widespread adoption of LIVE at scale among creators, localizing new product features, creating user engagement strategies, ensuring a positive creator experience through education on the Community Guidelines and best practices, and providing ad hoc analysis and support to cross-functional partners.
 
 
 We're looking for a Data Analyst to join our dynamic LIVE team. In this role, you&rsquo;ll uncover insights and deliver data-driven recommendations that directly impact how we grow and support our creator ecosystem. You'll work cross-functionally with product, strategy, and operations teams to shape our growth priorities using data and analytical thinking.
 
 
 - Handle a large amount of complex data, solve technical and statistical challenges, and drive business impact;
 
 - Design an indicator framework to measure the health status of the product, continuously track core indicators, and understand the root causes of indicator changes;
 
 - Promote the initiation of decisions based on data experiments, and rigorously measure the impact of product or technology changes;
 
 - Validate hypotheses, identify product growth opportunities, and influence the direction of improvement through analysis, experimentation, or other scientific methods;
 
 - Work with engineers and product stakeholders to provide product insights and strategies.
 
 
 
 Qualifications
 
 
 Minimum Qualifications:
 
 - Bachelor's degree in data science, statistics, econometrics, quantitative sociology, or a related scientific major, with more than 3 years of relevant work experience;
 
 - Professional knowledge in SQL and Python or R programming;
 
 - Strong analytical and causal reasoning skills, as well as a strict demand for statistical accuracy;
 
 - Fluent in English in order to communicate with global business stakeholders.
 
 
 Preferred Qualifications:
 
 - Strong communication and teamwork skills;
 
 - Passion for social media products and a deep curiosity for in-depth research.
 
 
 
 About TikTok
 
 
 TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.&ZeroWidthSpace;
 
 
 
 
 Why Join Us
 
 
 Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.&ZeroWidthSpace;
 
 We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 Diversity &amp; Inclusion&ZeroWidthSpace;
 
 TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.&ZeroWidthSpace;
</div>

Explore 99+ Quantitative analyst in Dubai this February. Find roles across top companies and apply now to boost your career.

99 quantitative analyst jobs In Dubai

Quantitative Researcher

Data Analyst - TikTok LIVE - Dubai

Quant Developer - Systematic Commodities Hedge Fund

Specialist- Data Scientist

Trading & Onchain Data Analyst

Investment Analyst

Data Analyst - TikTok LIVE - Dubai