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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 searching for an innovative and experienced Data Engineering Team Leader that will join us and be part of our data group. 

As a Data Engineering Team Leader, you will: 

• Lead a cross functional team of data, backend and DevOps engineers.
• Work closely with Data Scientists to understand needs and design for data layout and infrastructure used in data ingestion for ML and analytics use-cases.
• Lead the architecture, planning, design and development of mission-critical, diverse and large-scale data pipelines and data lakes over both public and on-prem cloud solutions. 
• Establish policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes. 
• Be the focal point to establish the processes for maintaining Final’s Data Quality.
• Be a part of Final’s data group leadership and be involved in large scale data architecture. 

• At least 3 years of experience leading a Data team involved in big data projects.
• At least 5 years of experience working as a Big Data Engineer or Data Architect
• At least 3 years of experience working in python development with emphasis on data analysis tools such as numpy, pandas, polars, Jupyter notebook.
• Hands-on experience in lower-level programming languages such as C++ or RUST.
• Proven understanding in designing, developing and optimizing complex solutions that move and/or manipulate large volumes of data 
• Sound understanding of different big data file formats such as Parquet, DeltaLake, AVRO, HDF5.
• Hands-on experience with distributed query engines such as Spark and Hadoop.
• Experience with implementing open-source solutions on existing large-scale systems.
• Experience working on large scale and complex on-premises systems.
• Experience with Docker, Linux, CI/CD tools and concepts, Kubernetes. 
• Experience with data pipelining tools such as Airflow, Kubeflow or similar.
• Understanding of ML concepts and processes. 
• BSc / MSc degree in Computer Science/ Engineering / Mathematics or Statistics.

 Advantages: 

• Experience and understanding of various storage protocols (NFS, S3, CIFS)
• Experience working with data versioning tools such as DVC, LakeFS, GitLFS or similar technologies. 
• Experience working with AWS data processing tools and concepts. 
• Hands-on experience with DataBricks platform.
• Hands-on experience in ML frameworks and models training and implementation.
• Experience with various databases technologies, including Vertica, MongoDB, Neo4j, Postgres, influxDB

Responsibility for managing and optimizing our data infrastructure, ensuring and monitoring data accuracy, availability, and reliability for our operations. Working closely with dev teams and IT to support data integration, data warehousing, and analytics initiatives. The role is intended for people who are passionate about data, automation, and continuous improvement.

Key Responsibilities

·        Monitor and troubleshoot data pipelines, ensuring optimal performance and reliability.

·        Design, implement, and maintain data pipelines for MegaDB.

·        Collaborate with Dev, IT, Algo and analysts to ensure data availability and quality.

·        Proactively identify and rectify data integrity issues.

·        Automate data validation and quality checks.

·        Oversee data storage, archiving, and retrieval for operational efficiency.

·        Collaborate with IT and DevOps teams to ensure data infrastructure scalability and reliability.

·        Automate and oversee QA process for MegaDB versions

Maintain and administer Spotfire

·        Bachelor's degree in Operations Research, Information Technology, or a related field.

·        Proficiency in SQL and scripting languages (Python, Bash).

·        Excellent problem-solving skills and attention to detail.

·        Strong communication and collaboration skills.

·        Ability to work in a fast-paced, dynamic environment.

·        Meticulous attention to detail and a passion for data accuracy.

Preferred Qualifications

·        Experience working as a DataOps Engineer or in a similar role.

·        Experience with containerization and orchestration (Docker).

·        Familiarity with data analytics and visualization tools (e.g., Spotfire, Tableau, Power BI).

·        Experience working in Linux environments

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 searching for an experienced ML Researcher to join a Team that is part of our New Initiative group

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/Signal Processing/Data Mining to a wide variety of datasets
• Stay up to date with the latest advancements in the field of ML, particularly in relation to transformers, and proactively identify opportunities to apply these advancements to our projects
• Creatively find new trading strategies
• Work with other team members to optimize Final’s Algorithms

• Master or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field
• 5+ Years of experience of ML research/Deep Learning/Data Mining etc
• Experience with software engineering in Python / C++
• Familiar with transformers, such as BERT, GPT, T5, and their applications
•  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 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.

Final is looking for a Network engineer to join our IT Production group. We are looking for an all-around-player who will join our Production IT team performing on a variety of tasks including WAN/LAN infrastructure maintenance, Server side support (mainly linux based servers) Developing/Automating the IT infrastructure and supporting a unique and advanced AI research network.

What you'll do:

• Maintaining the network's integrity includes implementing new systems, troubleshooting and repairing network issues, as well as developing, applying and enforcing best practices and policies
• Defining, installing and maintaining new network solutions
• Monitoring the network performance over time
• Managing multi-vendor environment (Juniper, Cisco, Arista,Mellanox, Fortinet)
• NETOPS attitude (network as a code, network automation, auto provision)
• Tier 3 and tier 4 troubleshoot and support 
• Supporting various development Departments for all IT aspects.

Requirements:

• At least 3 years hands-on experience with networking and routing protocols such as, TCP/IP, UDP, Multicast, OSPF, BGP, etc.
• Basic Linux Skills
• Expert knowledge in the operation of Ethernet LAN switching protocols and standards
• Proven experience of using scripting (Python/Bash) to automate network tasks.
• Experience in planning and designing projects and analyzing existing network systems and procedures for efficiency and effectiveness
• Ability to analyze network packet traces
• Excellent communication skills and team player.
• At least 2-year experience managing NGFW

Advantage:

• Knowledge of cloud usage
• Strong Linux skills
• Knowledge of virtualization technologies
• CCNP, JNCIS/P – preferred
• Knowledge of monitoring and telemetry systems – advantage

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/Signal Processing/Data Mining 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/Data Mining etc

·        Experience with software engineering in Python / C++

·        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 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 searching for an innovative and experienced Senior Big Data Engineer that will join us and be part of our big data group. 

As a Senior Big Data Engineer, you will: 

• Lead the architecture and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions. 
• Derive policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes. 
• Design and develop smart ML infrastructure in order to build Agile ML processes (MLOps). 
• Work with Data Scientists to understand needs and design ML infrastructure solutions 
• Be a part of a collaborative heterogeneous data team which includes developers, data scientists, data engineers, MLOps and data scouts. 

Tomer Cagan

• BSc / MSc degree in Computer Science/ Engineering / Mathematics or Statistics 
• At least 5 years of experience working as a Data Engineer or Data Architect or ML Engineer 
• At least 3 years of experience working in high level software development, preferably in Python 
• Proven hands-on experience in designing, developing and optimizing complex solutions that move and/or manipulate large volumes of data 
• Sound understanding of different big data file formats such as Parquet, Arrow, HDF5, etc. 
• Experience working on large scale and complex distributed systems 
• Experience with Docker, Linux, CI/CD tools and concepts, Kubernetes. 
• Experience with data pipelining tools such as Airflow, Kubeflow, MLFlow and similar technologies. 
• Hands-on experience with large-scale distributed computing systems and related technologies (e.g., Spark, Hive) 
• Understanding of ML concepts and processes. 

Advantage: 

• Experience and understanding of various storage solutions (NFS, S3, software defined distributed storage, etc.) 
• Experience working with data versioning tools such as DVC, LakeFS, GitLFS or similar technologies. 
• Experience working with AWS data processing tools and concepts. 
• Experience with large, offline on-premises production deployments. 
• Experience with Pandas, Numpy, Jupyter notebook. 
• Hands-on experience in lower-level programming languages such as C++ or RUST. 

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

We use proprietary prediction and trading algorithms as well as highly innovative schemes for handling large amounts of data. 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. 

We are looking for a passionate, versatile, and experienced SRE engineer to join our DevOps team.  

Our 20+ sites world-wide production environments run financial transactions in unparalleled scale, taking DR, HA, monitoring, log analysis, streaming services, and more cool technologies, to the highest level.  

As the first professional SRE engineer you will have the opportunity of leading the design, implementation, and maintenance of this highly reliable and scalable infrastructure. You will mentor and guide other team members, drive process improvements, and collaborate with cross-functional teams to deliver exceptional performance and uptime for our systems. 

Responsibilities: 

• Lead the design, implementation, and maintenance of highly available and fault-tolerant systems – multi-region, multi-clusters k8s, Kafka, docker reg, and more. 
• Collaborate with IT, DevOps and Dev teams to ensure effective monitoring, alerting, and logging systems to proactively identify and resolve issues. 
• Automate operational tasks to streamline deployment, configuration, and management processes. 
• Conduct incident response, root cause analysis, and implement preventive measures. 
• Stay up to date with industry trends and emerging technologies related to site reliability engineering. 

• Bachelor’s degree in computer science, Engineering, or a related field. 
• 2+ years of experience as a Site Reliability Engineer or a similar role. 
• Coding experience in one or more of: Python, Bash, Groovy, java, GO and similar. 
• Vast experience with self-hosted K8S - debugging, installation, upgrade, monitoring, logging, and operation. 
• Experience with monitoring and logging tools – ELK, Grafana, Prometheus, etc. 
• Experience with REPOs and registries - GIT, Artifactory, docker registry etc. 
• Experience working with automated IaC and CM tools (terraform, Salt, Puppet, Ansible, packer, Helm etc.). 
• Strong problem-solving and troubleshooting skills. 
• Excellent communication and collaboration abilities. 
• Strong leadership and mentorship abilities, with the desire to help develop and grow NOC and operations teams to an SRE\DEVOPS state of mind.  

 Advantages: 

•   Experience with AWS, GCP, AZURE (AWS preferred) 
• Good understanding of complex network and storage solutions.  
• Experience working within a data center environment – on premises.  
• Experience working in Dark sites – without internet connection. 
• Experience with CI\CD methodologies