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Trades of Gold

The Execution Trader is critical for translating proprietary system signals into real-time market actions on spot gold (XAU/USD). This role demands absolute discipline and focus, as the trader does not engage in independent analysis or strategy development. Your sole responsibility is the flawless, timely, and compliant entry and management of trades according to pre-approved algorithmic instructions. This ensures maximum efficiency and minimises execution risk, serving as the final, vital operational link in our trading chain. Success is measured entirely by the accuracy and quality of trade fulfilment against established system parameters.

Execution Traders

GitMax

Office We are looking for a Quantitative Trader to develop and test original trading models from the ground up. This role focuses on designing fundamentally new strategies using statistical analysis, probabilistic reasoning, and machine learning. This is not a template-based or traditional derivatives trading position we value creativity, initiative, and independence. Key Responsibilities: <ul> <li>Research and build quantitative trading models and signal-generation algorithms;</li> <li>Invent and validate new market factors and features;</li> <li>Work with large historical datasets using a well-established backtesting infrastructure;</li> <li>Contribute to cross-market and cross-asset models with real capital exposure;</li> <li>Earn performance-based bonuses tied to the profitability of your models (top performers can earn multiples of their base compensation).</li> </ul> Requirements: <ul> <li>Proficient in Python (numpy, pandas, sklearn, etc.);</li> <li>Solid knowledge of probability theory, statistics, and econometrics;</li> <li>Experience with ML frameworks is a plus;</li> <li>Ability to design and implement models independently, not just fine-tune existing ones;</li> <li>English proficiency required;</li> </ul> Why Join Us: <ul> <li>Work on real models deployed across diverse global markets;</li> <li>Lean team structure with high impact and visibility;</li> <li>Tight-knit, high-caliber quant team (3 5 people max);</li> <li>Clear path from intern to core trader with strategic ownership opportunities</li> </ul>

Quantitative Trader

Informica Technoservices

Role &amp; Responsibilities - <ol> <li> Develop and Execute Trading Strategies: Design and implement diversified Forex and crypto trading strategies using both manual and algorithmic methods. </li> <li> Conduct Market Analysis: Continuously study market trends, economic indicators, and emerging assets to identify profitable trading opportunities. </li> <li> Manage Risk: Apply disciplined risk management techniques, including position sizing, stop-loss settings, and exposure control to protect fund capital. </li> <li> Optimize Trade Execution: Execute buy/sell orders on platforms like MetaTrader 5 and major crypto exchanges, using bots or scripts to enhance efficiency. </li> <li> Track and Report Performance: Maintain detailed trading logs, P&amp;L records, and periodic performance reports in line with internal policies. </li> </ol> Preferred Candidate Profile - <ol> <li> Experience: 35+ years of active Forex and/or crypto trading with a proven track record in managing portfolios and executing trades. </li> <li> Technical Expertise: Skilled in platforms such as MT5, TradingView, and crypto exchanges; knowledge of MQL5/Python for algorithmic trading is a plus. </li> <li> Market Knowledge: Strong grasp of FX pairs, crypto assets, and both technical and fundamental analysis; familiarity with on-chain analytics is advantageous. </li> <li> Risk &amp; Quantitative Skills: Proficient in risk assessment, quantitative modeling, and data-driven decision-making under volatile market conditions. </li> <li> Soft Skills: Analytical mindset, attention to detail, discipline, and effective communication for teamwork and reporting.</li> </ol>

Fund Manager (Forex & Crypto)

Client of Ladwig Consulting

<div> </div> <div> Responsibilities: </div> <ul> <li> Develop, test, and deploy automated crypto trading algorithms. </li> <li> Convert existing manual strategies into coded systems (Python preferred). </li> <li> Integrate and manage exchange APIs (Binance, Bybit, OKX, etc.). </li> <li> Build backtesting and monitoring frameworks. </li> <li> Work closely with our trading and analytics team to refine strategy logic. </li> </ul> <div> </div> <div> Technical Skills Required: </div> <ul> <li> Proficiency in Python / Node.js / C++ / Rust. </li> <li> Experience with REST &amp; WebSocket APIs. </li> <li> Familiarity with order book mechanics, risk control, and leverage management. </li> <li> Knowledge of backtesting frameworks (e.g., Backtrader, QuantConnect). </li> <li> Experience in VPS / AWS-based deployment. </li> </ul> <div> Preferred Background: </div> <ul> <li> Prior work in prop trading / institutional algorithmic systems. </li> <li> Optional experience with AI-based or predictive trading models. </li> </ul> <div> </div>

Algorithmic Trading Developer

OneBullEx

<div>OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform delivers advanced futures trading capabilities powered by AI-driven 300 SPARTANS &mdash; automated, high-precision trading strategies designed to thrive in market chaos.

As The Innovative Market Handler and The Alchemist of Order, OneBullEx is forging structure from the volatility of the crypto markets. Our elite 300 SPARTANS stand at the frontier of algorithmic warfare &mdash; self-evolving strategies engineered to dominate market turbulence.

The market never sleeps &mdash; and neither do we.

Now, we are seeking a master strategist &mdash; a Quantitative Researcher &mdash; to join our ranks and lead the charge in building the next generation of data-driven trading intelligence.

Your Mission
<ul>
<li>We are looking for a Quantitative Researcher to explore the uncharted territories of global financial markets in search of Alpha.</li>
<li>This is where your ideas become code, and your code becomes profit.</li>
<li>You will collaborate with top-tier engineers, data scientists, and researchers to design, backtest, and deploy scalable, profitable trading systems.</li>
<li>Your genius will help us find order in chaos &mdash; uncovering signals hidden in oceans of data to fuel our relentless pursuit of performance.</li>
</ul>
What You Will Do (Your Arsenal of Impact) 
<ul>
<li>Create &amp; Destroy: Design, code, and backtest strategies that challenge the status quo &mdash; destroy the weak, refine the strong.</li>
<li>Teach the Machine: Apply cutting-edge machine learning and deep learning to extract alpha and build autonomous, evolving trading intelligence.</li>
<li>Play with Data: Dive into massive datasets, visualise unseen patterns, and turn raw chaos into structured opportunity.</li>
<li>Level Up: Continuously monitor, refine, and evolve strategies to maintain dominance in dynamic markets.</li>
<li>Collaborate &amp; Conquer: Partner with the AI Engine Development team to push the boundaries of trading research and infrastructure.</li>
</ul>
We are Looking for Someone Who
<ul>
<li>Has 3+ years of proven experience in prop trading, systematic trading, or quantitative strategy research (crypto, futures, or FX).</li>
<li>Holds a Master's degree or PhD in Computer Science, Financial Engineering, Applied Mathematics, Physics, or Economics &mdash; or equivalent real-world expertise.</li>
<li>Is obsessed with machine learning, deep learning, or reinforcement learning, and has a track record of applying them to live markets.</li>
<li>Writes code that thinks &mdash; fluent in Python, C++, Rust, or another high-performance language.</li>
<li>Possesses sharp analytical instincts and a relentless drive to uncover hidden truths in data.</li>
<li>Communicates clearly and effectively in English &mdash; because clarity is power.</li>
</ul>
This Role Is for You If
<ul>
<li>You are driven by curiosity and never stop asking &quot;Why?&quot;.</li>
<li>You thrive in the unknown, building answers where none exist.</li>
<li>You believe in team synergy over ego &mdash; and understand that genius scales through collaboration.</li>
<li>You live for the thrill of seeing your ideas move real markets.</li>
</ul>
What We Offer
<ul>
<li>Limitless Growth: Industry-leading compensation directly tied to your performance. No ceiling, only sky.</li>
<li>Total Freedom: A research-first environment &mdash; no bureaucracy, just results.</li>
<li>Elite Tools: Access to state-of-the-art infrastructure and data resources to turn your vision into reality.</li>
<li>A-Team Energy: Collaborate with world-class quants, engineers, and innovators who will challenge and elevate you.</li></ul></div>

Quantitative Researcher

Trade W

<div>
 
 
 Company Description
 
 
 
 Trade W is a leading multi-asset trading platform with over seven years of industry experience, providing global users with secure, convenient, and efficient access to the financial markets.
 
 
 
 
 
 Role Description
 
 
 This is a full-time on-site role for a Quantitative
 
 Developer
 
 , located in Dubai.
 
 
 
 
 
 Responsibilities
 
 
 Market-Making Optimization &amp; Execution
 
 <ul>
 <li>
 Implement quoting logic, inventory targets, dynamic spreads, passive/active switching, and hedge intensity.
 </li>
 <li>
 Link toxicity/mark-out (e.g., VPIN/Kyle &lambda;) to spreads and hedging.
 </li>
 <li>
 Build multi-LP / cross-exchange routing and cost-aware execution
 </li>
 </ul>
 
 Strategy Research &amp; Signal Development
 
 <ul>
 <li>
 Formulate testable hypotheses for MM/stat-arb/funding-basis/order-book/flow-toxicity signals.
 </li>
 <li>
 Engineer features (L1/L2, imbalance, mark-out, volatility, liquidity/impact) and produce evidence-based research notes.
 </li>
 <li>
 Translate findings into parameterized rules and production-ready configs.
 </li>
 </ul>
 
 Backtesting &amp; Performance Evaluation
 
 <ul>
 <li>
 Build trustworthy back tests with cost/slippage/latency/partial-fill modeling and venue-specific constraints.
 </li>
 <li>
 Run walk-forward/rolling validation, capacity &amp; turnover analysis, and P&amp;L attribution (spread, fees, carry/basis, slippage).
 </li>
 <li>
 Perform stress/scenario tests; track Sharpe/IR, max DD, VaR/ES; run ablations to verify signal credibility.
 </li>
 </ul>
 
 Trading Data Analysis &amp; Live Iteration
 
 <ul>
 <li>
 Analyze orders/trades/positions for mark-out, adverse selection, TCA, and market-quality KPIs.
 </li>
 <li>
 Segment users (retail/pro/arb/HFT) to inform MM parameters and routing.
 </li>
 <li>
 Maintain daily dashboards &amp; alerts; monitor backtest&harr;live drift and close gaps quickly.
 </li>
 <li>
 Run parameter/signal A/B experiments; publish concise weekly updates and quarterly roadmaps.
 </li>
 <li>
 Keep runbooks for events/new listings (risk bands, spreads, leverage) and coordinate rollouts with Dev/Risk.
 </li>
 </ul>
 
 Framework &amp; Systems
 
 <ul>
 <li>
 Design an end-to-end framework where research = backtest = simulation = production (unified data, cost/latency models, parameterized configs, experiment tracking, auto-reports).
 </li>
 <li>
 Real-time risk monitoring: inventory/exposure/leverage/hedge deviation/latency/failure-rate with anomaly detection, circuit-breakers, grade-down, and auto-recovery.
 </li>
 </ul>
 
 
 
 
 Must-have
 
 <ul>
 <li>
 Languages:
 
 C++
 
 </li>
 <li>
 Financial modeling &amp; statistics (probability/time-series, microstructure awareness); comfort with perps/futures, funding &amp; basis.
 </li>
 <li>
 Data analysis: Python (pandas/numpy/numba/asyncio/statsmodels/scikit-learn) and strong SQL; careful EDA and reproducible notebooks.
 </li>
 <li>
 Backtesting discipline: cost/impact modeling, leakage controls, validation hygiene.
 </li>
 <li>
 Engineering mindset: clean code, testing, ability to convert research into robust production rules/services.
 </li>
 <li>
 Clear communication: crisp writing, explicit assumptions, defensible conclusions for business/risk stakeholders.
 </li>
 <li>
 2-8 years of experience
 </li>
 </ul>
 
 
 
 
 Tech Stack (reference)
 
 <ul>
 <li>
 Languages: C++, Java, Python, SQL
 </li>
 <li>
 Data: PostgreSQL, ClickHouse, kdb+
 </li>
 <li>
 Analysis/Modeling: NumPy, pandas, statsmodels, scikit-learn, PyTorch/TensorFlow, cvxpy, QuantLib, arch
 </li>
 <li>
 Backtesting: vectorbt, backtrader, zipline
 </li>
 <li>
 Visualization: Matplotlib, Seaborn, Plotly, Tableau/PowerBI
 </li>
 <li>
 Workflow: Jupyter, Airflow/Dagste, Git
 </li>
 <li>
 Crypto(Optional): web3.py/ethers/solana-py, Dune/Flipside, Safe/Fireblocks
 </li>
 </ul>
 
 
 
 
 Nice-to-have
 
 <ul>
 <li>
 Order-book microstructure, MM/inventory control; toxicity metrics (mark-out/VPIN/Kyle &lambda;).
 </li>
 <li>
 ClickHouse/PostgreSQL, materialized views, high-throughput writes/queries; dashboards (Metabase/Superset/Plotly); experiment/version tracking.
 </li>
 <li>
 Streaming &amp; orchestration: Kafka/Redpanda, Flink or Spark Streaming, Airflow/Dagster; data quality (e.g., Great Expectations).
 </li>
 <li>
 Systems &amp; deployment: Linux, Docker/K8s, Prometheus/Grafana, GitHub Actions, observability/traceability.
 </li>
 <li>
 Production MM or cross-exchange arb track record; FIX/REST/WebSocket integrations (Binance/OKX/Bybit, etc.).
 </li>
 <li>
 Low-latency optimization (zero-copy, lock-free queues, batch I/O, kernel/network tuning).
 </li>
 <li>
 DEX/on-chain analytics (Dune/The Graph; web3.py/ethers/solana-py)
 </li>
 </ul>
</div>

Quantitative Developer (C++)

Squarepoint Capital

Overview Position Overview : Research and implement strategies within the firm's automated trading framework. Responsibilities <ul><li>Research and implement strategies within the firm's automated trading framework.</li><li>Analyze large data sets using advanced statistical methods to identify trading opportunities.</li><li>Develop a strong understanding of market structure of various exchanges and asset classes.</li></ul> Typical Day <ul><li>Primary focus throughout the day is on researching and implementing trading ideas.</li><li>Before market open, check that all required data and related processes are ready for the trading day.</li><li>During market hours, sporadically monitor behavior and performance of strategies.</li></ul> Required Qualifications <ul><li>Quantitative background -includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.</li><li>Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).</li><li>Strong communication skills and ability to work well with colleagues across multiple regions.</li><li>Ability to work well under pressure.</li><li>Successfully developing and implementing systematic strategies.</li></ul> Compensation and Benefits The minimum base salary for this role is $60,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates' compensation and benefits will be determined in consideration of various factors.<img src="https://www.jobg8.com/Tracking.aspx?HLCynLjJI3veWxy2gKQV83rvM98dbsryv" width="0" height="0" />

Senior Quant Researcher - Fixed Income

Explore 47+ Algorithmic trader in Dubai this October. Find roles across top companies and apply now to boost your career.