Careers

Final is a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT platform that delivers excellent results. In a world increasingly dominated by learning machines and artificial intelligence, we at Final are especially proud of our humans. Our elite team of exceptional people are the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports healthy work-life balance. Our employees are encouraged to pursue their passions outside of work and we are proud to offer them a variety of opportunities, multiple resources and an agile work environment which promotes their well-being. 

We are looking for a skilled and motivated Big Data Engineer  to join our backend data infrastructure team. You will be at the core of Final’s data ecosystem, building and maintaining high-performance data services and pipelines that support both real-time and batch workloads. Your work will directly impact how data is accessed and leveraged across the company — from live production environments to ML training pipelines. You will design and maintain systems that span hybrid infrastructure (on-prem and cloud), and ensure our data platform is fast, reliable, and scalable. We value engineers who are curious, open-minded, and excited to learn new technologies and practices as the landscape evolves.

As a Big Data Engineer, you will: 

• Design, implement, and maintain backend services for managing and processing large-scale data.
• Build and operate production-grade data pipelines and infrastructure.
• Develop utilities ,libraries and services to support high-throughput data retrieval and access patterns.
• Ensure observability, stability, and performance of data services in hybrid (cloud/on-prem) environments.
• Monitor and troubleshoot issues in live systems and continuously improve their robustness.
• Work cross-functionally to ensure data is accessible, well-modeled, and easy to consume by other teams.

• Strong programming experience in at least one of the following: C++, Java, Rust, .NET, or Python.
• Experience working with python data analytics libraries (such as numpy, pandas, polars).
• Experience working on backend services or data-intensive applications.
• Understanding of distributed systems, data pipelines, and production monitoring.
• Experience in hybrid infrastructure environments (on-prem + cloud).
• An open-minded technologist with a willingness to learn and adopt new technologies and best practices.

Nice to Have

• Familiarity with Apache Iceberg or other table/data format technologies (e.g., Delta Lake, Hudi, Parquet, ORC).
• Familiarity with Streaming technologies – Kafka, Flink.
• Experience with orchestration tools like Airflow or Argo.
• Exposure to analytics engines (e.g., Spark, DuckDB, Trino).
• Knowledge of Kubernetes and containerized deployments.
• Experience in MLOps or supporting machine learning pipelines.

Final Israel Ltd. is one of the world’s leading high-frequency trading (HFT) companies.

As a major participant in the HFT industry,

the challenge Final faces is two-fold: to analyze large and complex data sets

off-line, as well as to process massive flows of real-time data.

As a DevOps engineer, you will have the opportunity to build an

E2E CI\CD pipelines from the ground up as well as be in charge of large

deployments and their healthiness. You will be working on monitoring, log

analysis, deployment, testing, rollout to production and much more.

Our ideal candidates are highly motivated

individuals with strong technical skills and a solid background and

understanding in DevOps methodologies, technologies, and tools.

Responsibilities:

· Enable and enhance team developer workflows by developing CI/CD and automation capabilities

· Leading the monitoring of the team’s offerings through logs, metrics, traces and more

· Taking part in a top-notch technology team, code reviewing and knowledge sharing

· Support the core research teams with their workflows using the team’s solutions

Requirements:

· At least 5 years of hands-on DevOps experience

· Experience (3+ years) in writing automation software in one or more languages, such as Python, bash, groovy or similar.

· Extensive knowledge of cloud, containers

· Experience with CI and orchestration servers (Jenkins, airflow etc.)

· Experience working with automated configuration management tools (Salt, Ansible, packer etc.).

· Experience with IaaC tools (terraform, heat, etc.)

· Experience with monitoring and log analyzing tools (ELK, Grafana, Prometheus, etc.)

Advantages:

· Experience with large, offline on-premises production deployments.

· Good understanding in complex network solutions, SDN, CNI etc.

· Good understanding in complex storage solutions.

Final is a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT platform that delivers excellent results. 

 Our research is run by an outstanding team of brilliant researchers who love the extreme challenge of beating the markets. We consistently profit in challenging markets that get increasingly efficient. 

We have no customers, and no marketing. It is a pure technological and algorithmic challenge. Hence the time-to-market from a research idea until it is used and make profit by our trading machines is very short. 

In a world increasingly dominated by learning machines and artificial intelligence, we at Final are especially proud of our humans. Our elite team of exceptional people are the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports healthy work-life balance. Our employees are encouraged to pursue their passions outside of work and we are proud to offer them a variety of opportunities, multiple resources and an agile work environment which promotes their well-being. 

Our unique research team is expanding, 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 Final’s 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 Final’s Algorithms

•  Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field.
•  5+ Years of experience of ML research/Deep Learning etc.
• Experience with software engineering in Python (must) , C++/Rust is a plus.
• Strong statistical analysis and mathematical skill.
• A great team player eager to share/learn/teach other team members.
• Creative, self-motivated, love complex problems, determined.

Final is a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT platform that delivers excellent results. In a world increasingly dominated by learning machines and artificial intelligence, we at Final are especially proud of our humans. Our elite team of exceptional people are the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports a healthy work-life balance. Our employees are encouraged to pursue their passions outside of work and we are proud to offer them a variety of opportunities, multiple resources and an agile work environment which promotes their wellbeing. We are seeking a talented, tech savvy Detection Engineer to join our Cyber Security team and elevate Final’s detection and response capabilities across cutting-edge systems.

Responsibilities

• Lead initiatives to enhance our capabilities for effectively detecting and responding to security incidents.
• Design, develop, refine detection rules, alerts, and dashboards across Final’s security platforms to identify malicious or suspicious behavior.
• Deploy, manage, and maintain the infrastructure components of various detection platforms—including indexers, search heads, forwarders, and clusters—to ensure high availability, optimal performance, and scalability
• Parse and analyze logs from endpoints, servers, network devices, cloud services, EDR/XDR, and more.
• Automate detection pipelines and content deployment using Detection-as-Code methodologies and CI/CD frameworks.
• Tune and optimize detection logic to minimize false positives and enhance alert fidelity.
• Collaborate with different teams to continuously improve detection coverage.
• Integrate with SOAR tools and workflows, developing playbooks that enhance speed and consistency of incident response.
• Perform proactive threat hunting, alert triage, and incident investigations, leveraging threat intelligence and different cybersecurity frameworks.

Experience:

• Minimum 4 years in detection engineering, or equivalent roles.
• SIEM proficiency: Hands-on experience with Splunk or Azure Sentinel is mandatory; working with both is highly desirable.
• Familiarity with Detection as Code frameworks and CI/CD best practices.
• Hybrid environment: Experience operating across Linux/Windows on-premises and cloud infrastructure.
• Security fundamentals: Strong grasp of networking, operating systems, EDR/XDR, IDS/IPS, proxies, firewalls, and endpoint behaviour.
• Analytical mindset: Able to distinguish between false positives and true alerts and continuously refine detections.
• Collaboration & communication: Work effectively across teams to implement robust detection strategies.
• Self‑driven: DIY approach—adept at researching, building, and deploying solutions end‑to‑end.

Advantage

Certifications: Splunk Certified Enterprise Security Admin, Azure Security Engineer Associate (AZ-500) or similar.

Final is a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic-based HFT platform that delivers excellent results. In a world increasingly dominated by learning machines and artificial intelligence, we at Final are especially proud of our humans. Our elite team of exceptional people is the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports a healthy work-life balance. Our employees are encouraged to pursue their passions outside of work, and we are proud to offer them a variety of opportunities, multiple resources, and an agile work environment that promotes their well-being.

 We are looking for a SOC and NOC Team Lead to join our fast-growing SOC/NOC fusion center. Who will focus on designing, building, maintaining and optimizing our SIEM, the different monitoring tools and state-of-the-art Threat Operations Centre initiatives and processes. You will be responsible for overseeing, managing, and directing daily security operations alerts, Operational alerts and incidents while using the most advanced security and monitoring tools.

You will work closely with many internal stakeholders and drive the vision and end-to-end execution of our worldwide security operations and observability. You will also lead our incident response to protect our company and customer data.

About the Role

Ensure 24/7 monitoring of security alerts and operational incidents by leading and managing a team of SOC and NOC analysts

• Establish and enforce processes, procedures and workflows to detect, analyze, contain and eliminate incidents efficiently
• Prepare incident response plans and playbooks for different types of operational and Security incidents
• Communicate with stakeholders and resolve incidents both security and operational as part of incident response activities
• Identify root causes of incidents and recommend corrective actions to prevent future ones
• Optimize and configure security and observability tools to ensure comprehensive visibility and actionable insights across the entire environment.
• Define key performance indicators (KPIs) for your security and operations monitor metrics
• Prepare regular reports on SOC /NOC activities, incident trends and metrics for senior management and stakeholders

Responsibilities

•        Lead a team of NOC and SOC analysts operating 24/7, ensuring real-time monitoring of network/system health, application performance, and security events.
•       Drive operational excellence in detecting, troubleshooting, and resolving infrastructure and connectivity issues (e.g., latency, packet loss, hardware failures, etc.).
•        Implement and maintain incident response protocols and playbooks for network outages, service degradations, and cybersecurity incidents.
•        Ensure coordination between IT, Infrastructure, Security, and DevOps during escalations and major incidents.
•        Own and evolve our observability stack: monitoring tools (e.g., Prometheus, Grafana), SIEM platforms, log aggregation, alerting systems.
•        Define KPIs for both network operations and security metrics (MTTR, SLA adherence, false positives, escalation rates).
•      Deliver reports and dashboards on incident trends, operational stability, and threat landscapes to management.
•       Lead post-incident reviews (PIRs), identifying root causes and preventive actions.

• Proven leadership experience in a SOC or related information security role
• 5+ years as a Security Operations Centre (SOC) analyst IR analyst or SOC Engineer
• Hands-on capabilities - research and leading incident response teams
• Deep understanding of network troubleshooting, TCP/IP stack, DNS, VPNs, routing, and connectivity issues.
• Strong working knowledge of Linux systems, including command-line tools and system logs.
• Strong analytical and problem-solving abilities, with keen attention to detail
• Experience in building a SOC team, including staffing, recruitment, supervision, development and evaluations
• Lead, mentor, and develop a high-performing security operations team, ensuring they have the necessary skills and resources
• Strong foundation in cybersecurity principles, practices, and technologies; threat intelligence/intrusion detection/prevention systems
• Continuous learning and adaptability; commitment and continuous learning and stay up to date with industry trends, emerging threats, security best practices
• Passion for continuous learning and process improvement.
• Experience with the following tools and technologies: Splunk, Sentinel, CrowdStrike, Grafana, AWS, Zabbix