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.
 <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>


Quantitative Researcher

Futures First

<div><div><p>Job Information</p>
</div><div></div><div><div><div><div><p>Location</p>
<div>Hyderabad</div>
</div></div></div><div></div><div><div><div><p>Post Date</p>
<div>9 February, 2026</div>
</div></div></div><div></div><div><div><div><p>Date of Joining</p>
<div>Immediate</div>
</div></div></div><div></div><div><div><div><p>Employment Type</p>
<div>Fulltime</div></div></div></div></div></div><div></div>
<br><div><div><p>Position Summary</p><p>
Futures First offers a unique opportunity in India to work in the world&rsquo;s most stimulating, liquid, and well-developed derivatives markets. This is an exciting challenge and an excellent opportunity for bright, analytical, highly motivated graduates to join a vibrant and dynamic business.</p><p>
At Futures First we are committed to providing our employees the best in technology, infrastructure and training to enable them to succeed.</p><p>
Job Profile</p><p>
As a Research Analyst, you will use your understanding of grains and oil seeds&rsquo; markets and derivatives, your quantitative and qualitative analytical skills, and research abilities to facilitate market analysis and support the operations of the Research Team.</p><p>
Job Responsibilities</p><ul><li>
Track fundamental developments like demand/supply, weather, stocks developing across the global grain markets.</li><li>
Create and maintain data of fundamentals.</li><li>
Create scenarios and balance sheets of different grain products.</li><li>
Understand physical market developments globally.</li><li>
Read and analyze information and news from multiple sources and reports and identify key themes.</li><li>
Work closely with Market Analysts to gather requirements, create applications, and develop tools and technical solutions.</li><li>
Work with Market Analysts to create different market strategies.</li><li>
Read technical charts and carry out basic technical analysis.</li><li>
Continuously track several data points to identify anomalies and opportunities in the market.</li><li>
Focus on upgrading performance and enhancing the knowledge base of the Team.
</li></ul><p>Requirements</p><p>
Education Qualifications</p><ul><li>
Bachelor&rsquo;s degree (Economics graduates may be preferred)</li></ul><p>
Skillset</p><ul><li>
Excellent understanding of futures and options.</li><li>
Strong analytical skills, preferably in fundamentals of commodities market.</li><li>
Good knowledge of technical analysis.</li><li>
Knowledge of data analysis, preferably experience of handling financial markets data.</li><li>
Take initiative and be proactive in following up on discussions.</li><li>
Ability to work in a team, sharing responsibilities and knowledge across the team.</li><li>
Ability to prioritize and manage users' expectations.</li><li>
Proficiency in applicable technologies and the ability to process and analyze raw market data is an added advantage</li></ul><p>
Work Experience</p><ul><li>
Experience of at least 1-5 years in European/ US commodities research desk at a mid-sized I Bank or Hedge Fund is preferred
</li><li>Strong understanding of physical markets of Commodities is preferred.</li><li>
Excel-based modelling experience is preferred.
</li></ul></div><div></div><div><div><p>Why Join Futures First?</p>
<p>Join Futures First for career growth, market exposure, continuous learning, and a collaborative, dynamic work environment.</p>
<div><div><div>Read More</div></div></div></div></div></div><div></div>

Analyst - Research

Citi

<div><p>The Specialized Analytics Sr. Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence, and convince others, in particular colleagues in other areas.</p><p></p><p><b>
Responsibilities:</b></p><p>
Partner closely and manage interaction with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews.</p><p></p><ul><li>
Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation using tools like Python, H2O</li><li>
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique.</li><li>
Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation.</li><li>
Identifies and compiles large complex data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes</li><li>
Specialization in fraud or risk domain preferred</li><li>
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul><p></p><p><b>
Qualifications:</b></p><ul><li>
8+ years of hands-on analytical experience</li><li>
5+ years&rsquo; experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS</li><li>
Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods</li><li>
Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.</li><li>
Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc.</li><li>
Familiarity with regulatory requirements and guidelines related to risk model validation.</li><li>
Strong communication and interpersonal skills; experience with Stakeholder management</li><li>
Strong project management and organizational skills; ability to multi-task and meet deadlines.</li></ul><ul><li>
Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues.</li><li>
Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage.</li><li>
Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude.</li></ul><p><b>
Education:</b></p><ul><li>
Master&rsquo;s/Bachelor&rsquo;s/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute</li></ul><p></p><p>
-</p><p><b>
Job Family Group:
</b></p>Decision Management<p>
-</p><p><b>
Job Family:</b></p>
Specialized Analytics (Data Science/Computational Statistics)<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Data Scientist - Fraud Modeling - Assistant Vice President

TikTok

Data analysis
<br><br>
Data Analyst - TikTok LIVE - Dubai
<br><br>
Location
<br>:
<br><br>
Dubai
<br><br>
Employment Type
<br>:
<br><br>
Regular
<br><br>
Job Code
<br>:
<br><br>
A251921
<br><br>
Responsibilities
<br><br>
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.
<br><br>
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.
<br><br>
<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
<br><br>
<b>Minimum Qualifications:</b><br>
<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>
<b>Preferred Qualifications:</b><br>
<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
<br><br>
About TikTok
<br><br>
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.
<br><br>
​
<br><br>
Why Join Us
<br><br>
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.
<br><br>
​
<br><br>
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.
<br><br>
​
<br><br>
​
<br><br>
Diversity & Inclusion
<br><br>
​
<br><br>
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

Franklin Templeton

<div><div>Clarion Partners has been a leading real estate investment manager for over 40 years. Headquartered in New York, the firm maintains strategically located offices across the United States and Europe. Clarion Partners offers a broad range of real estate strategies across the risk/return spectrum to approximately 500 institutional investors across the globe. Clarion Partners operates independently as a Specialist Investment Manager owned by Franklin Templeton (FT), a diversified firm that spans asset management, wealth management, and fintech, giving us many ways to help investors make progress toward their goals.</div><div></div><div><i>
About the Research &amp; Strategy Department:</i></div><div></div><ul><li><div>
The Research &amp; Strategy team delivers quantitative insights that guide Clarion&rsquo;s global real estate investment decisions. The team includes researchers, data scientists, and analysts who collaborate to build models, analyze markets, and provide actionable intelligence to portfolio and investment teams. You will join a group that values analytical rigor, experimentation, and continuous learning&mdash;offering strong opportunities to deepen your expertise in applied data science within a real‑estate investment environment.</div></li></ul><div></div><div><i>
How You Will Add Value?</i></div><div></div><div><i><br>
Core Responsibilities:</i></div><div></div><ul><li><div>
You will support research that informs commercial real estate investment decisions.</div></li><li><div>
You will develop and test statistical and machine‑learning models.</div></li><li><div>
You will analyze structured and semi‑structured datasets.</div></li><li><div>
You will maintain forecasting and ranking models across markets.</div></li><li><div>
You will evaluate model performance and update models when required.</div></li><li><div>
You will apply model results to scenarios, risk analysis, and portfolio insights.</div></li><li><div>
You will contribute to experiments exploring new features and modeling approaches.</div></li><li><div>
You will maintain shared codebases and data pipelines.</div></li><li><div>
You will collaborate with global teams to communicate insights.</div></li><li><div>
You will document methods and results clearly.</div></li></ul><div></div><div><i>
What Will Help You Be Successful?</i></div><div></div><div><i><br>
Experience, Education &amp; Certifications:</i></div><div></div><ul><li><div>
Degree in Mathematics, Statistics, Computer Science, or related discipline.</div></li><li><div>
2&ndash;4 years of experience in data science or quantitative research.</div></li><li><div>
Strong skills in probability, statistics, time‑series analysis, and machine learning.</div></li><li><div>
Experience maintaining forecasting models in production.</div></li><li><div>
Advanced Python skills with pandas, NumPy, and scikit‑learn.</div></li><li><div>
Experience with linear and tree‑based machine‑learning models.</div></li><li><div>
Working knowledge of SQL and data engineering fundamentals.</div></li></ul><div></div><div><i>
Technical Skills:</i></div><div></div><ul><li><div>
Experience taking research models into production.</div></li><li><div>
Hands‑on exposure to full analytical pipelines.</div></li><li><div>
Knowledge of risk modeling or portfolio optimization.</div></li><li><div>
Experience with generative AI and natural language processing techniques.</div></li><li><div>
Familiarity with MLOps practices.</div></li><li><div>
Experience with alternative or unstructured datasets.</div></li><li><div>
Proficiency with Azure, Snowflake, and orchestration tools like Airflow or Data Factory.</div></li></ul><div></div><div><i>
Soft Skills:</i></div><div></div><ul><li><div>
Strong communication skills for technical and non‑technical audiences.</div></li><li><div>
Ability to manage data science project work and stakeholder needs.</div></li></ul><div></div><div>
Work Shift Timings - 2:00 PM - 11:00 PM IST</div><div></div><div><div><div><div>
Clarion Partners is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.</div><div></div><div>
By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. Clarion Partners offers generous benefits designed with the health and financial welfare of our employees and their families in mind, including highly competitive and expansive health care coverage, a comprehensive 401K, company-sponsored volunteer opportunities, individual volunteer time off, parental leave and childcare programs, as well as other benefits and discount purchase programs.</div><div></div><div>
Clarion Partners is committed to fostering an inclusive environment. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.</div></div></div></div></div>

Data Scientist

Moreton Capital Partners

<div><h3 class="jobSectionHeader"><b>Quant Developer &ndash; Systematic Commodities Hedge Fund</b></h3><p>
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.<br>
<br>
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.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></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><p><b>
Requirements</b></p><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><p></p><p><b>Bonus points for:</b></p><p></p><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><p><b>Benefits</b></p><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

Search 1110+ Quantitative analyst jobs near you this February. New roles added regularly across leading industries. Apply today.

1110 quantitative analyst jobs NEAR_ME

Quantitative Researcher

Analyst - Research

Data Scientist - Fraud Modeling - Assistant Vice President

Data Analyst - TikTok LIVE - Dubai

Quantitative Researcher

Data Scientist

Quant Developer - Systematic Commodities Hedge Fund