Quantitative Researcher - Data Curation

IMC

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC.  The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics, and trading intuition as well as a problem-solving mindset and pragmatism.  This is an opportunity to dive deep into feature engineering and alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models. Your Core Responsibilities: * Design and deploy machine learning models to enhance trading performance across various asset classes * Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization * Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models * Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources Your Skills and Experience: * PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field * 2+ years of experience building applied ML models; previous experience in trading environment preferred * Proven expertise in developing and deploying predictive models * Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax * Strong understanding of theoretical foundations of state-of-the-art ML models * Strong publication track record at ICML, ICLR, NeurIPS, or equivalent * Ability and desire to work in a collaborative team environment * Excellent written and verbal communication skills The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Salary Range $250,000—$300,000 USD About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

IMC

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying state-of-the-art machine learning to solve challenging trading problems.  This role will drive the development of a centralized ML environment to be used across all areas of trading at IMC.  The ideal candidate will have experience working with other researchers, traders, and engineers to build and continuously improve a research platform to drive innovation via ML. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics and trading intuition as well as a problem-solving mindset and pragmatism.  This is an opportunity to dive deep into feature engineering and focus on applying a wide range of ML models as well as to perform research on building custom models. Your Core Responsibilities: * Lead the design, development, and deployment of machine learning models to enhance trading performance across various asset classes * Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization * Collaborate with quantitative traders, researchers and developers to translate market insights into data-driven features and models * Oversee data acquisition, preprocessing, and feature engineering for structured and unstructured data sources * Mentor junior researchers and contribute to a culture of research excellence and experimentation * Drive strategic decisions on model architecture, experimentation pipelines, and infrastructure for scalable research Your Skills and Experience: * PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field * 4+ years of experience building applied ML models; previous experience in trading environment preferred * Proven expertise in developing and deploying predictive models in low-latency environments * Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax * Strong understanding of theoretical foundations of state-of-the-art ML models * Prior people management experience preferred * Ability and desire to work in a collaborative team environment * Excellent written and verbal communication skills   #LI-DNP The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Salary Range $250,000—$300,000 USD About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

CYENS Centre of Excellence

RESPONSIBILITIES Department: Research / DeepCamera No. Of Positions: 1 Reporting Line: Research Team Leader  Contract Type: An initial one-year fixed term employment contract will be offered with the possibility for renewal. Full Time basis. Duration of project: 36 months (September 2026 – August 2029) Location: Nicosia, Cyprus Indicative Annual Gross Salary Range: €18,000 – €23,000 The salary will be determined based on qualifications, experience, and suitability for the role.  Preferred Start Date: July 2026, or as soon as possible. Application Deadline: 19th of June 2026. Applications will be reviewed on a rolling basis. About the project / position: The successful candidate will work in the area of AI-based underwater image analysis and marine species detection. Marine biodiversity monitoring currently relies on large volumes of underwater video footage that must be manually analysed, a process that is time-consuming and prone to variability. Advances in artificial intelligence and computer vision provide the opportunity to automate species detection and classification, significantly improving efficiency and consistency in marine ecological assessments. In this role, the successful candidate will develop, train, and validate deep learning models for automated detection and classification of marine species from underwater imagery and video datasets. The position is part of the EU-funded ATLANTIS project (I3–ERDF), developing underwater technologies for marine monitoring and sustainable blue-economy applications. The successful candidates will have the opportunity to conduct fundamental and/or applied research in the aforementioned areas. Where applicable, candidates may also participate in the preparation of project reports and deliverables, research proposals for funding, software development, and travel abroad for dissemination activities. Furthermore, successful candidates will be encouraged to publish/present their research results in prestigious international conferences and journals. Key Responsibilities: 1. Perform data curation, preprocessing, and quality control of underwater imagery and video datasets, in collaboration with marine experts 2. Design, train, and evaluate deep learning models for automated detection and classification of marine species  3. Develop computer vision pipelines for video processing and model inference  4. Evaluate model performance using quantitative metrics  5. Contribute to the integration of AI-based detection models into operational biodiversity monitoring workflows and data analysis pipelines  6. Collaborate with project partners and contribute to the preparation of deliverables, technical reports, and dissemination materials  7. Contribute to other activities of the research group and the Centre YOUR PROFILE Skills and Competencies The ideal candidate will be: 1. Ability to work independently, meet deadlines, and collaborate effectively within an interdisciplinary team  2. Strong organisational and problem-solving skills  3. Self-motivated with the ability to take initiative and work independently.   4. Strong organizational, communication, presentation, and negotiation skills, having the ability to deal confidently and politely with enquiries.   5. Very good analytical skills coupled with attention to detail.   6. Dynamic, adaptable, hands-on and results driven. 7. A team player with an ability to work independently and under pressure.  8. High levels of commitment, energy, and drive. 9. Excellent communication and interpersonal skills. GENERAL QUALIFICATIONS AND REQUIREMENTS Key requirements Essential Requirements 1. M.Sc. / Ph.D. in Computer Vision, Artificial Intelligence, Computer Science, Data Science, Machine Learning, Robotics, or a closely related field, or in related area.  2. 3 years of relevant experience required  3. Demonstrated experience in applied research in artificial intelligence or computer vision  4. Experience in experimental design, model training, and quantitative evaluation of machine learning systems  5. Evidence of scientific writing and dissemination (e.g. peer-reviewed journal publications, conference presentations) 6. Strong programming skills in Python, with experience using deep learning frameworks (e.g. PyTorch or TensorFlow)  7. Experience in computer vision and image or video analysis  8. Language requirements: Excellent written and oral English-language skills will be required.   9. For non-EU applicants a work permit will be required Desirable Qualifications The following will be considered an advantage: 1. Experience with object detection or image segmentation models (e.g. YOLO, Mask R-CNN, Detectron2, etc.)  2. Experience working with large image or video datasets and annotation tools (e.g. CVAT)  3. Familiarity with Linux-based computing environments and version control systems (e.g. Git)  4. Experience with data augmentation, transfer learning, or domain adaptation techniques  5. Prior experience with environmental monitoring, marine datasets, or remote sensing imagery 6. Previous research experience and high impact research publications on relevant topics (a requirement for PhD holders/an advantage for non-PhD holders).  WHY US? What CYENS Offers CYENS offers the opportunity to work at the forefront of research and innovation within a dynamic, multidisciplinary, and international environment. Researchers benefit from collaboration with leading academic and industry partners, participation in high-impact national and European projects, access to state-of-the-art infrastructure, and opportunities for professional growth and scientific excellence. APPLICATION PROCESS Application process  For full consideration, interested applicants should submit the following items via the online application form and clearly indicate the position title in their application:   1. Full CV (including contact details). 2. Cover letter outlining:  1. your suitability for the role 2. your motivation for applying;  3. your earliest available start date, part-time or full-time availability 4. Research Group (s) of interest in order of priority 5. contact details of two referees.  3. Copies of academic transcripts  4. Description of their academic and research experiences as well as any relevant industrial / innovation / entrepreneurship experience, where applicable (500 words maximum). 5. Two (2) representative publications (if applicable). 6. Two (2) representative innovation outcomes / products (if applicable).   Important Information * Incomplete applications will not be considered.  * Applicants who have previously applied for a position at CYENS are required to submit a new application.  * All applications will be treated in the strictest confidence.  * CYENS Centre of Excellence is an equal opportunity employer and welcomes applications from candidates worldwide.  CONTACT DETAILS For general enquiries, applicants may contact the HR Department at vacancies@cyens.org.cy.