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>

Quantitative Developer

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>

Reqiva

<div>Quantitative Developer (Python / C++)
 
 
Locations: London | New York | Abu Dhabi 
 
A global quantitative trading firm is hiring Quantitative Developers to build the software and frameworks that power systematic trading strategies. This role sits at the intersection of software engineering and quantitative research, and titles may vary depending on team focus and scope. 
 
You&rsquo;ll work on performance-critical systems used across research, simulation, and live trading environments, with exposure to both on-prem and cloud-based infrastructure. 
 
What You&rsquo;ll Work On
<ul><li>Delivering fast, reliable market data to trading systems</li>
<li>Building integrated research and execution frameworks for predictive models</li>
<li>Developing simulation and research environments in the cloud</li>
<li>Creating scalable research platforms for new asset classes</li>
</ul>The technology stack is a mix of Python and C++, used across high-performance and research-focused systems. 
 
What They&rsquo;re Looking For
<ul><li>Strong programming skills in Python and/or C++</li>
<li>Solid quantitative or analytical background</li>
<li>Experience building robust, scalable systems</li>
<li>Comfortable working closely with researchers and traders</li>
</ul>This role offers an excellent salary in line with global quantitative developer standards, plus a significant annual bonus. 
 
If you&rsquo;re a strong engineer with a quantitative mindset and want to work on real-world trading systems at scale, this is a rare opportunity to make a direct impact in a high-performance environment. 
 
Apply now!</div>

Quantitative Developer C++ / Python

<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

TRB 360

<div>
 
 
 Quantitative AI Developer
 
 
 
 
 
 
 
 Location:
 
 &Idot;stanbul / Ankara
 
 
 
 Work Model:
 
 Hybrid
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are supporting one of our client companies in their search for a Quantitative AI Developer.
 
 
 The selected candidate will be responsible for building and maintaining AI and machine learning models that power the company&rsquo;s analytical and trading infrastructure. You will apply advanced statistical and computational methods to large-scale market and operational datasets, designing predictive systems that enhance forecasting, risk analysis, and portfolio performance.
 
 
 
 
 
 This is a highly technical and research-oriented role ideal for candidates with strong AI/ML modeling experience who are eager to see their models make a direct market impact in global commerce.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 &bull; Build advanced models leveraging large-scale and complex datasets to generate predictive insights for derivative products.
 
 
 &bull; Design, train, and test quantitative and machine learning models to identify predictive signals from time series and alternative data sources.
 
 
 &bull; Conduct in-depth quantitative and qualitative assessments of model performance, including theoretical soundness, design integrity, implementation quality, and data consistency.
 
 
 &bull; Research and implement machine learning algorithms to support forecasting and trading strategy development across derivative products and related markets.
 
 
 &bull; Develop software features and automation tools that enhance scalability, reliability, and efficiency.
 
 
 &bull; Build and maintain APIs, services, and back-end tools to integrate models into production environments.
 
 
 &bull; Collaborate closely with cross-functional teams to ensure scalable, accurate, and efficient model deployment.
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Software Engineering, or a related discipline.
 
 
 &bull; Minimum 2 years of experience in a Quantitative Developer, AI Developer, or similar analytical role.
 
 
 &bull; Strong programming skills in Python (pandas, NumPy, scikit-learn, PyTorch, etc.).
 
 
 &bull; Solid understanding of statistics, econometrics, and machine learning principles.
 
 
 &bull; Experience in developing and maintaining production-level ML systems or analytical tools.
 
 
 &bull; Familiarity with time series modeling (ARIMA, XGBoost, LSTM, etc.) is a plus.
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 
 &bull; Experience with machine learning or deep learning applications for financial data.
 
 
 &bull; Familiarity with big data and cloud environments (e.g., Spark, AWS, GCP).
 
 
 &bull; Experience with financial data APIs (Bloomberg, Refinitiv, yFinance, etc.).
 
 
 &bull; Relevant certifications such as CFA, FRM, or formal training in Quantitative Finance.
 
 
 
 
 
 
 Soft Skills
 
 
 
 
 
 
 &bull; Ability to communicate complex quantitative and financial concepts clearly to non-technical stakeholders.
 
 
 &bull; Strong collaboration and coordination skills across technical and business teams.
 
 
 &bull; Proactive, solution-oriented, and adaptable in fast-changing market environments.
 
</div>

Quantitative AI Developer (Istanbul- Ankara)

SAVE IN GOLD

Senior Developer &ndash; Forex Algorithmic Trading &amp; MT5 Plugins Location: On-site, Dubai, UAE Type: Full-time / Contract Experience: 3+ years in financial markets developmentAbout the RoleWe are seeking an experienced Senior Developer with deep expertise in forex markets, algorithmic trading (quant strategies), and MetaTrader 5 (MT5) plugin/indicator development to join our team on-site in Dubai.You will be responsible for designing, building, and optimizing high-frequency and automated trading systems, custom indicators, Expert Advisors (EAs), and bridging solutions for MT5.This role requires a strong mathematical mindset, experience with quantitative models, and hands-on skills in MQL5/C++ integration. You will work closely with our quantitative research and trading teams in our Dubai office to translate strategies into robust, low-latency trading tools.Key Responsibilities<ul><li>Develop, test, and deploy custom indicators, scripts, and Expert Advisors (EAs) for MT5 using MQL5.</li><li>Design and implement algorithmic trading systems for forex and other financial instruments.</li><li>Optimize trading algorithms for speed, reliability, and compliance with broker restrictions.</li><li>Build and maintain plugins, DLLs, or bridges connecting MT5 with external systems (Python, C#, REST APIs, databases).</li><li>Conduct backtesting, stress testing, and live deployment of quantitative models.</li><li>Collaborate with quants and traders in-office to refine strategies and improve performance.</li><li>Ensure high standards of code quality, documentation, and version control using Git.</li></ul>Nice-to-Have<ul><li>Experience with other trading platforms (cTrader, TradingView, NinjaTrader).</li><li>Knowledge of machine learning applications in trading.</li><li>Background in mathematics, statistics, or financial engineering.</li><li>Previous work with high-frequency or low-latency systems.</li><li>Published MT5 plugins or community contributions.</li></ul>What We Offer<ul><li>Competitive salary + performance-based bonuses.</li><li>On-site role in Dubai within a professional trading environment.</li><li>Opportunity to work on cutting-edge trading systems.</li><li>Collaborative team with experienced quants and traders.</li><li>Career growth, continuous learning, and exposure to advanced trading strategies.</li></ul>Job Type: Full-timePay: AED5,000.00 - AED10,000.00 per month

Senior Developer – Forex Algorithmic Trading & MT5 Plugins

Susquehanna International Group, LLP

<div><div><div>Susquehanna International Group is seeking an experienced Software Developer to join a Front Office team responsible for designing and developing prediction market trading systems.</div><div>
As a developer on this team, you will work closely with traders and technologists to enhance our trading capabilities by providing innovative, scalable and stable systems. You will have direct impact on a successful desk and work directly with traders on proposing new ideas or gathering requirements for additional functionality, both of which are brought into production quickly through our short development cycles. Beyond development, you will have the opportunity to propose and investigate new technologies to help us stay ahead. We are looking for an experienced C++ Developer with experience in performance and optimization.</div><div></div><div> 
In this role, you will:</div><ul><li>
Execute on ideas quickly</li><li>
Commit to innovation</li><li>
Focus on the entire technical stack with an eye for building a stable, scalable, optimized environment with minimized risk</li><li>
Work with traders and quantitative researchers to build, maintain, and improve order sending prediction market strategies</li><li>
Explore new technologies to find the optimal solution</li><li>
Exercise strong object oriented programming skills</li></ul><div>
What you can expect from us:</div><div> 
Real Impact: You&rsquo;ll be designing and optimizing systems that process massive amounts of data, ensuring high performance and stability. You&rsquo;ll see how your contributions towards developing and supporting leading-edge hardware and software solutions make a firm-wide impact that makes us all smarter, faster, and better.</div><div> 
Collaboration: Our systems engineers, network architects, technical analysts and software developers work together to create competitive edge through best-in-class technical solutions.</div><div> 
Growth: For many of our roles, we don&rsquo;t expect you to have prior industry experience in proprietary trading or financial services to succeed at Susquehanna International Group. We&rsquo;re looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow.</div><div> 
Benefits: Susquehanna offers a wide array of competitive employee perks &amp; benefits.</div><div></div> 
What we're looking for 
<ul><li>
Bachelor's degree in Computer Science, Engineering, Mathematics or related discipline or its foreign equivalent</li><li>
5+ years of progressive experience developing software applications</li><li>
Familiarity with financial markets or prediction markets is a plus</li><li>
Excellent attention to detail and accuracy and a thorough understanding of performance optimization / latency reduction methodologies</li><li>
Ability to work closely with other software developers, traders, quants, and infrastructure teams</li></ul><div>
About Susquehanna</div><div>
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.</div><div></div><div> 
What we do
</div><div>We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.</div><div> 
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.</div><div></div><div> 
#LI-LM1</div><div>
#LI-Onsite</div></div></div>

Software Developer | C++ | Prediction Markets | Experienced

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