Open Positions

Data Engineer

Description

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 Engineer that will join us and be part of our new data initiatives team in our data group. 

 

As a Data Engineer, you will:    

  • Be a part of a cross functional team of data, backend and DevOps engineers.    
  • Be responsible for ingesting large volumes of new data, followed by deep understanding and inspection of the data in close collaboration with data scientists. 
  • Lead the architecture, planning, design and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions. 
Requirements
  • At least 3 years of experience working as a Data Engineer 
  • At least 3 years of experience coding with Object-Oriented Programming (OOP) languages.
  • Hands-on experience with Spark for large-scale batch processing. 
  • Hands-on experience working with AWS data processing tools and concepts. 
  • Proven understanding in designing, developing and optimizing complex solutions that move and/or manipulate large volumes of data. 
  • Sound understanding of partitioning and optimization techniques of different big data file formats (such as Parquet, DeltaLake, AVRO, HDF5) 
  • Experience with Docker, Linux, CI/CD tools and concepts, Kubernetes. 
  • Experience with data pipelining tools such as Airflow, Kubeflow or similar. 
  • BSc / MSc degree in Computer Science/Engineering / Mathematics or Statistics. 
  • Understanding of ML concepts and processes. 

Advantage: 

  • Hands-on experience with DataBricks platform. 
  • Experience working on large scale and complex on-premises systems.  
  • Hands-on experience in ML frameworks and models training and implementation. 
  • Hands-on experience in lower-level programming languages such as C++ or RUST 
apply here

Office Manager

Description

We are looking for an experienced, energetic and professional Office Manager to join us at Final. The role is part of the HR team and requires great interpersonal skills, service orientation, attention to details, organizational skills and being a team player.

Who We Are

A leader in algorithmic trading. We serve as an innovation hub dedicated to developing and integrating technology and knowledge through qualitative and quantitative research. Our ultimate achievement is the result of outstanding individuals and the most brilliant machines working together. We are continuously seeking to improve and refine the technology that powers Algo trading.

Nice to know

Our site is located in Herzelia at Yad Harozim St., 15-minute walk from the train station.

·      Founded 2001 with over 200 talented employees

·      Our team members enjoy the freedom to innovate and experiment, until success is achieved

·      We care about each other, and we care about our community

Responsibilities :

  • Sit at the reception desk and handle the overall administrative office responsibilities such as greeting visitors, assisting employees in day to day operational queries
  • Manage the executive team's calendars, including scheduling meetings
  • Book company flights, conferences registration, expense management and office supply
  • Work closely with accounting and facilities teams
  • Work with various vendors
  • Support the recruitment team in interview scheduling when required
  • Support the HR team in various welfare activities in the company
  • This position requires to be physically present at the front desk from Sunday to Thursday
Requirements
  • Proven experience of at least 2 years as an Office Manager or relevant role
  • Excellent organizational and multitasking abilities
  • A kind, energetic, people-oriented person with a great service approach
  • Attention to details and problem-solving skills
  • Excellent knowledge of MS Office and office management software (ERP etc.)
  • A great Team player with passion to assist company employees with a positive and proactive attitude. 
  • Fluent English
apply here

Researcher

Description

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
Requirements
  • 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
apply here

Risk Analyst

Description

Final is a world leader in developing trading algorithms and applying them. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT (High Frequency Trading) 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. 

About the Team 

Final continuously applies algo-based high frequency trading through a state-of-the-art operation around the world. To do that we undertake operational, market and several other risks. Our success depends critically on understanding, quantifying and mitigating those risks. 

The team manages all aspects of Final’s risk: ad-hoc tackling of events, enhancing our capabilities and tools, multi-year road map execution, and much more. The dynamic nature of financial markets ensures perpetual mental stimulation. 

 

About the Role 

We are looking for a data analyst to join our Risk team. We seek a person with superb analytical skills, sincere interest in finance and markets, vigorous intellectual curiosity, a knack to find practical solutions to real-world problems, and the desire to work independently and drive projects from idea to completion. 

 

Responsibilities include:  

  • Analyzing complex data sets, seeing beyond numbers, and helping inform, improve and execute clever business decisions. 
  • Handling end-to-end analyses: defining the question, gathering the data, suggesting solutions, researching, drawing relevant conclusions and presenting actionable recommendations 
  • Partnering with the Risk, Operations Research, Algo and Trading teams 
  • Performing ad-hoc in-depth analyses of our implementation and execution 
  • Constructing scripts, dashboards, and metrics to monitor performance and detect anomalies 
  • Keeping our data sources complete, precise and reliable 

 



Requirements

Requirements: 

  • Bachelor’s degree in Engineering, Math, Statistics, Computer Science or equivalent 
  • Roughly 3-6 years of experience as a data analyst 
  • Outstanding analytical & technical skills and a passion for data  
  • Advanced SQL with experience in querying large and complex data sets. Experience in one or more programming language, preferably Python 
  • Effective team player 
  • Solid communication skills 

  

Advantage

  • Experience with financial markets 
  • Experience with data analysis and visualization frameworks like Spotfire, Tableau, or simila

apply here

Senior Big Data Engineer

Description

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. 
Requirements


  • 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 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. 
  • Result oriented, self-motivated, fast learner, can do attitude and a great team player

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. 
apply here

Do the math. Join our team APPLY HERE