Qenexus
A propos de l'entreprise
Qenexus is a recruitment and talent advisory firm that focuses on providing recruitment services within front office trading & technology.
Founded in 2024 by Tom O'Cuinneagáin, a seasoned professional with 8 years of experience in the industry, our firm specializes in headhunting, recruitment, and talent advisory services within the highly competitive front office trading and technology sectors. We are dedicated to connecting top-tier talent with leading financial institutions, hedge funds, and technology firms.
Our deep industry knowledge and extensive network allow us to identify and engage the best candidates, from quantitative analysts and traders to software engineers and developers. We understand the unique demands of the trading environment and the critical role that technology plays in driving success.
At the core of our approach is a commitment to understanding the specific needs of our clients and providing tailored solutions that deliver exceptional results. Whether you’re looking to build a high-performing team or seeking career opportunities in the front office trading and technology space, we are here to support you every step of the way.
Our mission is simple: to be the trusted partner that helps our clients and candidates achieve their goals in the fast-paced, ever-evolving world of trading and technology.
Offres d'emploi listées
- Company Name
- Qenexus
- Job Title
- Quantitative Researcher | Pod of 5 | Equities
- Job Description
-
Qenexus are recruiting on behalf of a pod who have recently joined a leading Quantitative Trading Firm in Paris.
Responsibilities:
Design and deploy trading algorithms for equities markets.
Analyze market data and micro-structures to discover trading opportunities.
Build tools to identify data patterns.
Contribute to data analysis and trading libraries.
Develop and improve market simulators.
Qualifications:
Bachelors, Masters, or PhD in Mathematics, Statistics, Computer Science, or a related STEM field
Experience in high-frequency or quantitative trading is a plus
Strong skills in math, statistics, and data analysis
Familiar with back-testing, simulations, and statistical techniques (e.g., auto-regression, PCA)
Experience handling large datasets, including tick data
5+ years of experience in C++
For more info, please click apply or email Tom on tom@qenexus.com.
- Company Name
- Qenexus
- Job Title
- Quantitative Researcher - Systematic Rates
- Job Description
-
We’re seeking a highly skilled Quantitative Researcher to join a high-performance trading team focused on developing systematic strategies in global rates markets.
This is a front-office research role, ideal for candidates with a strong background in financial engineering, systematic rates modelling, and experience working with swap-based signals.
Responsibilities:
Research, design, and implement systematic alpha strategies across global interest rate products, with a particular emphasis on swaps and related derivatives.
Develop and refine models leveraging macroeconomic, market microstructure, and yield curve signals.
Conduct rigorous backtesting and statistical analysis to evaluate strategy performance and robustness.
Work closely with technologists and portfolio managers to integrate research into production trading systems.
Monitor and enhance live strategies, responding to performance and market regime changes.
Requirements:
Advanced degree (PhD or MSc) in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or related discipline.
Proven experience building systematic models in interest rate markets, particularly in swaps, swap spreads, and cross-currency basis.
Strong programming skills in Python, C++, or a similar language.
Deep understanding of time series analysis, signal generation, and portfolio optimization.
Familiarity with transaction cost modelling, market impact, and execution strategies is a plus.
Strong communication skills and the ability to collaborate in a fast-paced, team-oriented environment.
This is an opportunity to work on impactful research in a dynamic environment with access to world-class data and infrastructure. Ideal for researchers who enjoy pushing the boundaries of systematic fixed income strategies.
For more info, apply below or email Tom on tom@qenexus.com
- Company Name
- Qenexus
- Job Title
- Quantitative Trader - Energy
- Job Description
-
We are working with a leading systematic hedge fund seeking to hire an experienced Energy Trader to join its global commodities business.
The successful candidate will focus on generating systematic alpha across the energy complex – including oil, gas, power, and carbon.
This role is suitable for researchers with a strong background in time-series forecasting, statistical arbitrage, or quantitative signal generation in energy markets. You will be tasked with identifying inefficiencies and developing medium-frequency to low-latency strategies that are robust, scalable, and grounded in economic intuition.
Responsibilities:
Conduct alpha research across the energy spectrum (oil, gas, power, carbon) using a variety of quantitative techniques.
Design, test, and deploy systematic trading strategies based on market microstructure, fundamental data, and price behaviour.
Collaborate closely with portfolio managers, technologists, and data engineers to implement research ideas in a live trading environment.
Work with large and complex datasets, leveraging both proprietary and alternative data sources to uncover new trading signals.
Requirements:
Demonstrated track record of alpha research or systematic strategy development within the energy markets.
Strong statistical and programming skills (Python preferred; C++ a plus).
Deep understanding of market structure and data across energy products.
PhD or MSc in a quantitative discipline (e.g., statistics, physics, engineering, computer science, applied math).
Prior experience at a hedge fund, prop trading firm, or energy-focused trading desk is preferred.
For more information, apply or reach out to our Director, Tom, for a discreet discussion on tom@qenexus.com or whatsapp +353 87 695 8046