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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

Discovered MENA

<div>
 
 
 Role: Quantitative Software Engineer (C++ / Low-Latency Systems)
 
 
 
 
 Location:
 
 Dubai (on-site)
 
 
 
 
 
 
 Overview
 
 
 
 A fast-growing HFT firm is strengthening its core engineering group and is looking for a Quantitative Software Engineer to help build and optimise low-latency components used across their systematic trading teams. This position sits at the intersection of quantitative research, real-time systems, and performance-critical C++ development.
 
 
 The role is being opened to support an expanding set of trading strategies and to ensure that new models can be deployed to production with high reliability, speed, and technical rigour. You will work closely with researchers and traders to convert prototype ideas into robust, latency-sensitive software.
 
 
 
 
 
 
 What You&rsquo;ll Work On
 
 
 
 During the first year, the engineer will focus on:
 
 <ul>
 <li>
 Understanding the existing trading framework, infrastructure components, and data pipelines
 </li>
 <li>
 Improving runtime performance of active strategies through profiling, refactoring, and optimisation
 </li>
 <li>
 Converting research models into production-quality C++ implementations
 </li>
 <li>
 Designing and implementing new execution or strategy modules with strict latency constraints
 </li>
 <li>
 Taking ownership of critical code paths that affect end-to-end reaction time
 </li>
 <li>
 Streamlining the workflow between research and engineering to accelerate deployment cycles
 </li>
 </ul>
 
 
 
 
 
 Essential Technical Background
 
 
 
 
 Quantitative &amp; Algorithmic Knowledge
 
 
 <ul>
 <li>
 Strong grounding in probability, statistics, mathematical modelling, or computational problem-solving
 </li>
 <li>
 Ability to collaborate with researchers to interpret models and ensure accurate, efficient implementation
 </li>
 </ul>
 
 
 C++ Systems Engineering
 
 
 <ul>
 <li>
 Expert-level proficiency in modern C++ (17/20)
 </li>
 <li>
 Experience writing high-performance software with a focus on throughput, memory efficiency, and low latency
 </li>
 <li>
 Comfortable analysing and optimising code paths in performance-critical environments
 </li>
 </ul>
 
 
 Concurrency &amp; Multithreading
 
 
 <ul>
 <li>
 Familiarity with lock-free or low-contention data structures
 </li>
 <li>
 Ability to design concurrent systems tuned for predictable latency
 </li>
 </ul>
 
 
 Monitoring &amp; Observability
 
 
 <ul>
 <li>
 Hands-on experience with performance dashboards, metrics, and alerting (e.g., Prometheus, Grafana)
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Degree in Computer Science, Mathematics, Engineering, Physics, or a related quantitative discipline
 </li>
 </ul>
 
 
 Nice-to-Have Experience
 
 
 <ul>
 <li>
 Knowledge of market data, exchange connectivity, or electronic trading systems
 </li>
 <li>
 Scripting for automation or tooling (Python, Bash)
 </li>
 <li>
 Cloud platform exposure for research or non-latency workloads
 </li>
 <li>
 Visualisation tools or experience building dashboards for model/strategy analysis
 </li>
 <li>
 Networking fundamentals (e.g., TCP/UDP, multicast, low-latency protocols)
 </li>
 </ul>
 
 
 Ways You&rsquo;ll Collaborate
 
 
 <ul>
 <li>
 Partner with quant researchers to implement models efficiently
 </li>
 <li>
 Coordinate with traders to understand practical requirements of live strategies
 </li>
 <li>
 Work alongside senior engineers on performance tuning and architectural decisions
 </li>
 </ul>
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Proactive and comfortable tackling complex technical challenges independently
 </li>
 <li>
 Precise, detail-focused, and driven by quality
 </li>
 <li>
 Able to balance theoretical correctness with pragmatic engineering decisions
 </li>
 <li>
 Calm, constructive communicator who contributes positively under pressure
 </li>
 </ul>
 
 
</div>

Quantitative Developer

Millennium Management

<div><div><div>Job Description</div></div><div><div><div><div>
Quantitative Developer<h1 class="jobSectionHeader">
Mid-Senior Level Quant Developer</h1>
Preferred Location: Dubai
Leading index Rebal team seeking a highly motivated and detail-oriented Quant Developer to join our team. The ideal candidate will have a strong passion for building robust trading systems and be familiar with the trading process. This role requires someone who is extremely hard-working and dedicated to achieving excellence in every aspect of their work. You will be working on our core trading engine and building out trade automations that drive the business.
Key Responsibilities<ul><li>
Core Trading Engine Development: Develop, maintain, and improve our core trading engine.</li><li>
Systematic Trade Automations: Design and implement trade automation systems to enhance trading efficiency and effectiveness.</li><li>
Collaboration: Work closely with traders, researchers, and other developers to understand requirements and deliver solutions.</li><li>
Code Review: Participate in code reviews to ensure the highest quality of code and adherence to best practices.</li><li>
Support: Provide ongoing support and troubleshooting for existing trading systems and models.</li></ul>
Required Skills and Qualifications<ul><li>
Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, Physics, Engineering, or a related field.</li><li>
Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc.</li><li>
Quantitative Skills: Solid understanding of quantitative finance and statistical methods.</li><li>
Trading Knowledge: Familiarity with the trading process and financial markets.</li><li>
System Design: Experience in designing and implementing high-performance, scalable systems.</li><li>
Problem-Solving: Excellent analytical and problem-solving skills.</li><li>
Attention to Detail: Meticulous attention to detail and a commitment to accuracy.</li><li>
Work Ethic: Demonstrated ability to work hard and manage multiple tasks simultaneously.</li><li>
Team Player: Ability to work effectively in a collaborative team environment.</li><li>
Communication Skills: Strong verbal and written communication skills.</li></ul></div></div></div></div></div>

<div><div><div>Job Description</div></div><div><div><div><div>
Quantitative Developer, Systematic Equities
Job Description: Quantitative Developer, Systematic Equities
Please direct all resume submissions to QuantTalentEUR@mlp.com and reference REQ-26457 in the subject.
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
Job Description
We are seeking a highly skilled and entrepreneurial Lead Software Engineer to architect, build, and scale the core trading infrastructure for a newly formed quantitative trading pod. You will lead the design and deployment of systems that support systematic strategies operating across global markets and time zones.
This is a hands-on leadership role at the intersection of technology, research, and trading - you'll collaborate directly with quantitative researchers and the Senior Portfolio Manager to turn ideas into production-ready strategies.
The pod is led by a Senior Portfolio Manager with 15+ years of experience and a proven track record in alpha generation, strategy development, and risk management at top-tier quant firms. This is a unique opportunity to own the technology stack from day one, influence strategic direction, and help shape a high-performance team in a collaborative and intellectually rigorous environment.
Location
Dubai
Principal Responsibilities<ul><li>
Technical Leadership &amp; Architecture<ul><li>
Design and maintain the trading system architecture, including components for data ingestion, signal generation, backtesting, execution, and risk management</li><li>
Make decisions on technology stack, performance optimization, and scalability</li><li>
Ensure the system supports reasonable latency, high-throughput, and fault-tolerant trading</li></ul></li><li>
Team Leadership &amp; Collaboration<ul><li>
Help recruit and Lead a small team of developers (sometimes quants as well) within the pod</li><li>
Work closely with the quant researchers and traders to understand strategy requirements and translate them into code</li><li>
Prioritize tasks and mentor junior developers or quant devs</li></ul></li><li>
Strategy Implementation Support<ul><li>
Build and maintain research infrastructure (e.g., backtesting frameworks, simulation environments, feature stores)</li><li>
Translate researchers' prototypes (e.g., in Python) into production grade code, often in C++, or C# for latency-sensitive components</li></ul></li><li>
Execution &amp; Infrastructure<ul><li>
Optimize and support order execution systems, integrating with various exchanges or broker APIs</li><li>
Implement real-time risk checks, monitoring, logging, and alerting tools</li></ul></li><li>
Data Engineering &amp; Management<ul><li>
Oversee the pipeline for ingesting, cleaning, and storing data (market, alternative, internal)</li><li>
Ensure data integrity and low-latency access for trading and research</li></ul></li><li>
DevOps &amp; Reliability<ul><li>
Often take responsibility for deployment pipelines, version control, and production support</li><li>
Ensure high system availability and rapid recovery in case of failures</li></ul></li><li>
Security &amp; Compliance<ul><li>
Make sure that the pod's infrastructure adheres to firm-wide compliance and security standards</li><li>
Ensure rigorous version control, code quality, and documentation standards</li><li>
Conduct thorough testing and debugging of software components, resolving any issues or discrepancies.</li></ul></li></ul>
Required Technical Skills<ul><li>
1st class Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field</li><li>
Fluency in C++ or C# for performance-critical systems</li><li>
Proficiency in Python, especially for scripting, research integration, and data tools</li><li>
Solid understanding of algorithms, data structures, and multithreaded/concurrent programming</li><li>
Strong knowledge of SQL and modern database design (e.g., column stores, time-series DBs)</li><li>
Familiarity with software engineering best practices: version control (Git), unit testing, CI/CD, logging, monitoring, etc.</li><li>
Strong troubleshooting skills across distributed systems</li></ul>
Required Experience<ul><li>
3+ years of hands-on experience designing, building, and maintaining high-performance trading systems, ideally in a systematic equities or quant trading environment</li><li>
Proven experience in:<ul><li>
Handling large-scale market data (e.g., normalization, feed handling, replay systems)</li><li>
Order routing and exchange connectivity, including FIX protocols and direct market access (DMA)</li><li>
Building event-driven architectures and real-time systems with tight SLAs</li><li>
Identifying and resolving performance bottlenecks, data inconsistencies, or system instability in production environments</li></ul></li></ul>
Highly Valued Relevant Attributes<ul><li>
Excellent communication skills - able to interface directly with quant researchers and traders, translate requirements, and explain technical decisions</li><li>
Demonstrated initiative and ownership: able to drive projects independently, while collaborating effectively in a team setting</li><li>
Comfortable in fast-paced, iterative environments where priorities can shift quickly based on market conditions or research insights</li></ul></div></div></div></div></div>

Quantitative Developer, Systematic Equities

COBBLESTONE

<div>Employment type: Full-time &amp; Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship &amp; relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas and Power markets. Established in 2017, we combine deep analytics, advanced data science, and agile technology to drive profitable trading decisions and support the transition to renewables. Our flat organisational structure empowers every team member with autonomy and ownership, and our diverse, global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values
<ul>
<li>Lifelong learning with continuous reflection</li>
<li>Independent thinking through a meritocracy of ideas</li>
<li>The team is more important than the individual.</li>
<li>Being the best in any market we enter</li>
<li>Hiring and keeping only the most effective people</li>
<li>Others must benefit from our existence.</li>
</ul>
What we offer in this role
<ul>
<li>A full-time position on our Commercial team</li>
<li>Committed and remarkably talented colleagues.</li>
<li>Highly competitive compensation dependent on performance</li>
<li>An exciting, challenging and fulfilling career.</li>
<li>Investment in your development to ensure that you always remain the best in business.</li>
<li>Equity participation for strong contributors, ensuring our interests are all aligned long term.</li>
</ul>
Key Responsibilities:
<ul>
<li>Support traders within your designated market team to develop and refine trading strategies</li>
<li>Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market</li>
<li>Build and maintain forecasting models to support short term or long term market views</li>
<li>Prepare clear market summaries, dashboards and presentations for internal stakeholders</li>
<li>Monitor real time news, fundamentals and data to inform daily trading decisions</li>
<li>Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.</li>
<li>Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.</li>
<li>Collaborate with trading, risk and analytics teams to support commercial objectives</li>
<li>Contribute to research on trading and hedging opportunities within your market</li>
<li>Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams</li>
</ul>
Your background:
<ul>
<li>0&ndash;3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid</li>
<li>Bachelor's degree (or near completion) or master's degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.</li>
<li>Exposure to at least one programming language (e.g. Python, C++, Java, or similar)</li>
<li>Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.</li>
<li>A &quot;Builder&quot; mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.</li>
<li>Understanding of basic concepts in data structures, algorithms and computational thinking</li>
<li>Personal values aligned with Cobblestone's culture and long-term vision</li>
<li>Strong sense of ownership and responsibility</li>
<li>Desire to grow within a high-performance, intellectually demanding environment</li>
<li>Fluency in English, both written and spoken.</li>
</ul>
Preferred Background:
<ul>
<li>Proven track record of excellence, academic or professional, in quantitative or analytical roles</li>
<li>Experience working with time-series data, machine learning libraries, or cloud-based data platforms</li>
<li>Demonstrated ability to innovate and drive end-to-end solutions</li>
</ul>
The Hiring Process
<div>
<ul><li>Application Review</li></ul>
<ul><li>Online Assessments: Psychometric and logical reasoning tests</li></ul>
<ul><li>Case Study: Research-oriented project to showcase your analytical approach</li></ul>
<ul><li>Remote Interviews: Three rounds with members of our Analytics and Trading teams</li></ul>
<ul><li>Offer &amp; Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst</li></ul></div></div>

JUNIOR MARKET ANALYST- Dubai, UAE

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>

High Street Resources

About the Opportunity: 
We are retained to hire a Head of Quantitative Research for a cutting-edge digital asset investment manager operating at the intersection of quantitative finance, AI, and automated trading.
 
Role Overview: 
This is a senior leadership role responsible for defining research strategy, building and mentoring quant teams, and delivering a consistent pipeline of deployable alpha. The role is both strategic and hands-on, with deep involvement in research, validation, and production workflows.
 
Key Responsibilities: 
<ul>
<li>Define and execute the firm’s quantitative research roadmap.</li>
<li>Lead hands-on strategy development using statistical, ML, and AI techniques.</li>
<li>Build and manage high-performing research teams.</li>
<li>Partner closely with trading, risk, and engineering.</li>
<li>Drive adoption of next-generation compute and research tooling.</li>
</ul>
Requirements: 
<ul>
<li>Advanced degree in a quantitative discipline.</li>
<li>8+ years in quantitative research with leadership exposure.</li>
<li>Strong Python expertise; additional low-latency languages a plus.</li>
<li>Experience with large-scale data, cloud infrastructure, and AI/ML.</li>
</ul>

Head of Quantitative Research

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Head of Quantitative Research