quantitative research analyst

Foresight Research Pvt. Ltd.

About the Role: We are looking for a Data Analyst with strong quantitative and analytical skills to join our team. The ideal candidate will have hands-on experience with SPSS, Python, and data analysis, and a solid understanding of statistics and research design.Key Responsibilities:<ul><li>Analyze large and complex datasets to generate meaningful insights</li><li>Develop and automate analytical reports using SPSS / Python / Excel</li><li>Support market research projects through data cleaning, validation, and statistical analysis</li><li>Work closely with research and client servicing teams to interpret findings</li><li>Contribute to the development of dashboards and advanced analytics tools</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Statistics, Economics, Mathematics, or IT</li><li>3&ndash;4 years of experience in quantitative data analysis or market research</li><li>Strong command over MS Excel, SPSS, Python (Pandas/Numpy) </li><li>Excellent analytical thinking, attention to detail, and problem-solving skills</li><li>Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus</li></ul>Job Type: Full-timePay: Rs65,000.00 - Rs100,000.00 per monthWork Location: In person

Data Analyst – Quantitative Research

TRB 360

<div>
 
 
 Quantitative Researcher
 
 
 
 
 
 
 
 
 
 We are seeking a Quantitative Researcher for our company operating in the oil and gas sector.
 
 
 
 
 
 Location: &Idot;stanbul- Ankara
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a Quantitative Researcher to join our growing commodities research team.
 
 
 You will work on developing, testing, and implementing data-driven trading and forecasting models using quantitative and machine learning techniques.
 
 
 
 
 
 This role is ideal for someone with a strong analytical mindset, programming skills, and a passion for financial markets &mdash; prior experience in commodities is not required.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Develop and test quantitative models for commodity price forecasting and market analysis.
 </li>
 <li>
 Work with time series and alternative datasets to extract predictive signals.
 </li>
 <li>
 Research and implement machine learning algorithms for forecasting and trading strategies.
 </li>
 <li>
 Collaborate with data engineers and traders to integrate models into production workflows.
 </li>
 <li>
 Continuously monitor model performance and improve robustness and interpretability.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 1&ndash;2 years of experience as a Quantitative Researcher, Data Scientist, or similar analytical role.
 </li>
 <li>
 Strong programming skills in Python (pandas, NumPy, scikit-learn, PyTorch, etc.).
 </li>
 <li>
 Solid understanding of statistics, econometrics, and machine learning.
 </li>
 <li>
 Experience with time series modeling (ARIMA, XGBoost, LSTM, etc.) is a plus.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail.
 </li>
 <li>
 Good communication skills and ability to work collaboratively in a research-driven environment.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 Exposure to financial markets, especially commodities or macro data.
 </li>
 <li>
 Knowledge of quantitative finance concepts (futures, hedging, spreads, volatility, etc.).
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 Continuous Learning:
 
 A culture of continuous development with opportunities to attend conferences and in-house tech events to stay up-to-date on the latest trends (everyone is encouraged to share knowledge internally and with the community).
 </li>
 <li>
 
 Training Resources:
 
 Free access to online training platforms such as Udemy, Harvard ManageMentor, and GetAbstract for ongoing professional development.
 </li>
 <li>
 
 Allowances:
 
 Monthly meal and internet allowances to support your day-to-day work needs, plus a transportation allowance for commute expenses.
 </li>
 <li>
 
 Home Office Support:
 
 A one-time gift voucher to help you meet your tech needs and set up an ergonomic workspace at home.
 </li>
 <li>
 
 Health Benefits:
 
 Private health insurance coverage for your peace of mind.
 </li>
 <li>
 
 Birthday Leave:
 
 An extra day of leave on your birthday to celebrate your special day.
 </li>
 </ul>
 
 
</div>

Quantitative Researcher (İstanbul- Ankara)

William o'neil India

<div><div><div><h2 class="jobSectionHeader">About Us</h2></div><div>
O'Neil Global Advisors (OGA) is an investment advisor that builds algorithmic strategies based on proprietary quantitative factor research pioneered by investing legend William J. O'Neil. Bill's methodology has achieved consistent success over more than five decades, and OGA's strategies provide our clients with an exclusive way to capture the success of his powerful and disciplined approached to investing. We develop strategies that are inspired by Bill's disciplined quantitative approach and incorporate his desire for constant improvement through ongoing backtesting.</div></div><div><div><h2 class="jobSectionHeader">
Summary</h2></div><div>
Responsible for the gathering, cleaning, and analyzing time series data. Together with our team of data scientists and portfolio managers, the Quantitative Analyst I will develop new tools and data sets that support our factor research and investment management activities.</div></div><div><div><h2 class="jobSectionHeader">
Duties and Responsibilities</h2></div><div><ul><li>
Works independently on variety of data collection and data analysis projects</li><li>
Build, clean, and transform various time series data sets</li><li>
Work with unstructured data to extract relevant features</li><li>
Analyze large data sets and generate descriptive statistics</li><li>
Build scripts in Python and SQL</li><li>
Document the data sets in Confluence</li><li>
Work with developers to troubleshoot and fix data issues</li><li>
Track and report on data issues using Jira</li><li>
Provide support to our data science and investment management teams</li><li>
Perform other duties as requested by management</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Qualifications &amp; Requirements</h2></div><div><ul><li>
Bachelor&rsquo;s degree in STEM or Finance is required</li><li>
Highly skilled in writing SQL queries to gather, analyze, and clean market data</li><li>
Excellent working knowledge of descriptive and inferential statistics</li><li>
Ability to write prototype quality code using Python</li><li>
Course work or personal interest in equity investment is a plus</li><li>
Must have excellent Excel and PowerPoint skills</li><li>
Perform all work and activities with honesty and integrity</li><li>
Effectively communicate (and listen) clearly, professionally, politely and persuasively in all situations; respond well and in a reasonable, timely manner</li><li>
Challenge conventional practices and use creativity and information to lead, innovate, problem solve, and implement ideas to contribute to the growth of the organization</li><li>
Collaborates with co-workers to achieve common goals</li><li>
Take personal responsibility for productivity, quality and timeliness of work</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Working Conditions</h2></div><div>
While performing the duties of this job, the employee is regularly required to sit and use hands to type. Moderate travel. The noise level in the work environment is usually moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div></div><div><div><h2 class="jobSectionHeader">
Equal Opportunity Employer</h2></div><div>
O'Neil Global Advisors is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.</div></div></div>

Quantitative Analyst I

Glow Beauty On Demand

Job Details Location: UAE Location: Dubai Industry: Finance / Investment Banking Function: Research / Lab Gender: Any Candidate Nationality: Any Job Type: Full-time Core Duties * Research and design algorithmic yield strategies using leverage, protocol stacking, and dynamic rebalancing. * Quantitatively assess systemic and protocol-specific risks including liquidity depth, smart contract vulnerabilities, and oracle dependencies. * Build probabilistic models to evaluate risk, Value at Risk (VaR), and tail events using simulations such as Monte Carlo. * Conduct stress testing under extreme market conditions including stablecoin depegs and flash loan attacks. * Collaborate with engineers to productionize strategies, automate rebalancing, and integrate risk controls into vault infrastructure. * Ensure strategies are securely deployed on-chain with efficient execution and robust safety checks. Ideal Profile * Bachelor s or Master s degree in Mathematics, Statistics, Physics, Computer Science, Engineering, or Financial Engineering. * 2 4 years experience in quantitative research, trading, or risk modeling, preferably within crypto, DeFi, fintech, or traditional finance. * Proficiency in Python and libraries such as pandas, numpy, scipy, and statsmodels. * Experience with financial forecasting, portfolio optimization, and risk simulation. * Knowledge of Monte Carlo simulations, statistical backtesting, and time-series modeling. * Solid understanding of DeFi concepts including AMMs, lending protocols, stablecoins, staking, and vaults.

Quantitative Researcher

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 
 
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 
 
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Own the implementation and monitoring of live crypto market-making strategies
 </li>
 <li>
 Analyse interactions between crypto liquidity, token incentive mechanisms, and DeFi market dynamics
 </li>
 <li>
 Design and implement liquidity strategies to support healthy trading of Energy dollars across exchanges
 </li>
 <li>
 Collaborate with engineering to create backtesting, monitoring, and execution tools for token market activity
 </li>
 <li>
 Work with product teams to manage liquidity provision, token supply, and market risk
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of experience in quantitative research, trading, or market making (crypto or traditional markets)
 </li>
 <li>
 Proficiency in Python for data analysis, backtesting, and monitoring
 </li>
 <li>
 Experience working with large-scale market data and building research pipelines
 </li>
 <li>
 Ability to design dashboards, alerts, or monitoring systems for real-time trading performance
 </li>
 <li>
 Familiarity with DeFi protocols, automated market makers, and token economics is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner for office based employees
 </li>
 </ul>
</div>

Quantitative Researcher (Crypto)

mLabs

<div><h3 class="jobSectionHeader">Quantitative Trading &amp; Market Microstructure Specialist - High-Performance DEX
</h3>Location: Remote - Global (Preference for candidates based in: Lisbon, Portugal / UAE / Switzerland / Singapore / Hong Kong / Brazil / USA / UK / Spain / Canada / France / Germany / Greece)
Compensation: $180K - $220K
We are building a high-performance blockchain operating system that fundamentally redefines what's possible on Ethereum by prioritizing unparalleled throughput, decentralization, and security. We are now expanding the team for O2, a new, early-stage project: a next-generation decentralized exchange (DEX) running on our modular execution layer. Designed as a Central Limit Order Book (CLOB), our goal is to build the fastest DEX ever constructed, leveraging parallel execution to unlock high-frequency trading efficiency fully on-chain.
You will play a foundational role, leveraging your expertise in market making and quantitative trading to model, simulate, and optimize the market behavior of our core CLOB protocol. This is a highly hands-on role where you will design and test trading strategy logic, build simulation frameworks, and collaborate with engineering and research to inform critical protocol-level design decisions.
Key Responsibilities:<ul>
<li>
Strategy &amp; Optimization: Leverage prior market making experience to run, tune, and improve automated trading strategies both on-chain and across centralized exchanges (CeFi).</li>
<li>Liquidity Provision: Ensure consistent liquidity provision, real-time adaptation to market conditions, and reliable execution across multiple markets.</li>
<li>Risk &amp; Security: Identify and mitigate manipulative or adversarial behavior in markets, protecting the exchange and ensuring fair trading conditions. Analyse system architecture and trading logic for vulnerabilities, providing input on risk controls.</li>
<li>Collaboration &amp; Design: Collaborate with engineering, product, and research teams to design resilient trading bots and contribute to protocol-level market logic.</li>
<li>Operations: Develop and refine operational workflows for monitoring, alerting, risk management, and daily trading routines (e.g., runbooks, escalation paths).</li>
<li>Research &amp; Simulation: Design and test strategy logic for liquidity provision and execution. Build simulation frameworks to evaluate pricing and order flow under real-world conditions.</li>
</ul>
Requirements<ul>
<li>
Domain Experience: 3+ years of direct experience in market making, quantitative trading, or liquidity provision (crypto experience strongly preferred).</li>
<li>Market Knowledge: Strong understanding of order book mechanics, market microstructure, and liquidity dynamics.</li>
<li>Systems Experience: Hands-on experience with automated trading systems, including parameter tuning, monitoring, and troubleshooting.</li>
<li>Technical Comfort: Comfort working close to code (Python, Rust, or similar), enough to prototype or review logic.</li>
<li>Trading Environment: Familiarity with both CeFi and DeFi trading environments and their unique operational considerations.</li>
<li>Operational Design: Ability to design structured operational flows (shift rotations, runbooks, escalation paths, monitoring).</li>
<li>Mindset: High agency (takes proactive steps to drive projects), a hacker mindset (thinks like an adversary to spot risks), curiosity, and a bias toward action.</li>
</ul>
Preferred Qualifications:<ul>
<li>
Strong background in quantitative analysis, algorithmic trading, or market microstructure.</li>
<li>Experience with DeFi protocols, centralised exchanges, or on-chain trading bots.</li>
</ul>
Benefits<ul>
<li>
Impact: Foundational role in building what is intended to be the fastest fully on-chain DEX using a groundbreaking CLOB model, defining the future of decentralized finance.</li>
<li>Culture: Join a globally dispersed team united by innovation, high agency, and an empathetic culture. We value courage, optimism, and mission-driven substance over performative trends.</li>
<li>Growth: Opportunity to dive deep into cutting-edge technologies (Ethereum Rollups, parallel execution) and rapidly expand in-house trading expertise.</li>
<li>Compensation: Competitive compensation package (details provided upon inquiry).</li>
</ul>
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd&rsquo;s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.</div>

2x Quantitative Researcher/Engineer

<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>

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