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We are looking for an Algo-Dev Engineer to join one of our research teams. You will be working closely with our researchers, assisting them in achieving their research objective while developing tools and optimizing models in both offline and online environments.
Areas of responsibility include data-handling, deep dive into algo code, design, implementation, and deployment of technologies designed to enable innovative algo-trading projects and support existing and ongoing initiatives.
In this role you will :
Contribute to the continuous evolution and optimization of our internal deep algorithms, bridging the gap between theoretical research and production-ready implementations

We are searching for a Software Engineer to join our digital assets group, a group within tasked with creating solutions for digital assets trading and management. You will be part of a strong and dynamic team of experienced developers and researchers that together develop and maintain all elements of the trading infrastructure, while using cutting edge technologies to overcome our unique trading challenges.
We write almost all of our tools in the Rust programming language for superior performance and safety.
The role focuses on developing and maintaining an in-house platform that manages, controls and monitors our ever-growing set of tools and applications. The tools you will write and maintain have challenging requirements on all fronts - performance, resilience, correctness and more.
In this role you can expect to challenge yourself daily and be creative to solve difficult technical problems in a fast-paced and energetic environment, while exposed to a wide range of technologies and challenging problems which require high availability, high-throughput, and latency-sensitive solutions in a cloud environment.

We are searching for an innovative and experienced Data Engineer that will join us and be part of our reference and alternative data team in our data group.
As a Data Engineer, you will:
Be a part of a cross functional team of data and backend engineers.
Be responsible for ingesting financial data and providing it over numerous APIs in close collaboration with algorithmic teams and other partners.
Lead the architecture, planning, design and development of mission-critical and diverse data pipelines over both public and on-prem cloud solutions.

We are looking for a talented IT Expert to join our Storage & Virtualization team. In this role, you will serve as a subject matter expert responsible for building, maintaining, and managing virtual infrastructure and enterprise storage platforms. You will play a key role in ensuring high availability, performance, and reliability across a technically diverse and demanding environment.
Responsibilities:
Design, deploy, and operate virtualization solutions that provide high availability, scalability, and performance across a complex on-premises infrastructure.
Design, deploy, operate, and maintain enterprise storage systems, including NetApp ONTAP, VAST Data, and IBM storage platforms.
Integrate and optimize storage solutions within virtualized environments.
Identify and evaluate new technologies relevant to storage and virtualization.
Automate IT processes to improve reliability, efficiency, and scalability of infrastructure.
Collaborate with other IT domains to ensure seamless operation of core services.

Were looking for an experienced MLOps Engineer to join our team and help design, implement, and maintain scalable machine learning infrastructure and data processing pipelines.
The ideal candidate is passionate about operational excellence, automation, and building reliable systems that empower data scientists and engineers alike.
This role is responsible for enhancing, automating, monitoring, and optimizing data pipelines that collect, transform, cache, index, and manage large-scale datasets.

we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets.
As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Algorithms

We are looking for a talented, tech-savvy individual to join our Cyber Security team and help us tackle the toughest security challenges in cutting-edge ecosystem.
In this role, you will be a subject matter expert and play a major part in our efforts to build and maintain security infrastructure, design secure architectures, enforce security best practices, and automate security processes.
The Cyber Security team is composed of strong and experienced security engineers, responsible for defining the security strategy and managing all of infrastructure.
Responsibilities:
Define, implement, and maintain security policies, standards, and methodologies; ensure they evolve with new threats and technologies.
Design, deploy, and operate detection, prevention, and response technologies across a scaled, diverse, and complex environment (hybrid infrastructure: public cloud + on-premises).
Build and operate secure infrastructure: hands-on ownership of security configurations and system hardening.
Conduct security assessments, secure-design reviews and architecture assurance reviews to identify and mitigate possible security risks.
Automate security processes: configuration deployments, infrastructure management, detection, response, compliance checks, patching, configuration drift, etc.
Design, develop, and implement secure software development and deployment pipelines, incorporating best practices, automation, and CI/CD methodologies.
Stay ahead of emerging cyber threats and technologies: research, evaluate, pilot, and integrate where relevant.
Participate in creating incident response playbooks, coordinate incidents investigations, root cause analysis, and lessons learned.