One of the top London-based hedge funds is building out an ‘Alternative Investments’ arm and within that expanding their quant research group. They are looking for an experienced investment technology engineer to work alongside the Head of Quantitative Research as the group’s technical authority on how to use the latest technologies to launch the platform to the forefront of the market.

Tech-wise they truly understand that to have successful business lines, they need a world-class foundation of engineers and technologists who have a strong grasp of computer science fundamentals including algorithm design and complexity theory. They are so committed to attracting the very best computer science talent, that they actively encourage the use of opensource technology. You will primarily be coding in Python and related tools including Pandas, NumPy etc. and have full access to opensource tech, DevOps tools and Spark for data analytics. Engineering follows a "test first" approach with focus on Agile engineering best practices.

 

Must have skills:

• 5+ years’ expert level Python engineering experience across distributed, mission-critical systems.
• Proven history of working in a fast-paced Agile engineering environment following TDD, BDD etc.
• Strong SQL knowledge.
• Excellent grasp of computer science fundamentals such as algorithm design/optimisation, complexities, data structures.
• Proven history of solving complex comp-sci problems.

 

Nice to have:

• Knowledge of Python libraries such as Pandas, NumPy, PyTest etc.
• Front office financial experience, ideally in asset/investment management.
• DevOps experience.
• Experience working alongside a quantitative researcher.

 

Benefits:

• Leading compensation package
• Access to the latest opensource tech
• Pension, healthcare, paid holiday
• Very well-connected office location

One of the top London-based hedge funds is building out an ‘Alternative Investments’ arm and within that expanding their quant research group. They are looking for an experienced investment technology engineer to work alongside the Head of Quantitative Research as the group’s technical authority on how to use the latest technologies to launch the platform to the forefront of the market.

Tech-wise they truly understand that to have successful business lines, they need a world-class foundation of engineers and technologists who have a strong grasp of computer science fundamentals including algorithm design and complexity theory. They are so committed to attracting the very best computer science talent, that they actively encourage the use of opensource technology. You will primarily be coding in Python and related tools including Pandas, NumPy etc. and have full access to opensource tech, DevOps tools and Spark for data analytics. Engineering follows a "test first" approach with focus on Agile engineering best practices.

 

Must have skills:

• 5+ years’ expert level Python engineering experience across distributed, mission-critical systems.
• Proven history of working in a fast-paced Agile engineering environment following TDD, BDD etc.
• Strong SQL knowledge.
• Excellent grasp of computer science fundamentals such as algorithm design/optimisation, complexities, data structures.
• Proven history of solving complex comp-sci problems.

 

Nice to have:

• Knowledge of Python libraries such as Pandas, NumPy, PyTest etc.
• Front office financial experience, ideally in asset/investment management.
• DevOps experience.
• Experience working alongside a quantitative researcher.

 

Benefits:

• Leading compensation package
• Access to the latest opensource tech
• Pension, healthcare, paid holiday
• Very well-connected office location

Data Engineer My global financial client are looking for a Data Engineer to help deliver an ecosystem of enriched and protected sets of data - created from raw, structured and unstructured sources.

Data Engineer

My global financial client are looking for a Data Engineer to help deliver an ecosystem of enriched and protected sets of data - created from raw, structured and unstructured sources. My client has over 300 sources and a rapidly growing book of work. We are utilising the latest technologies to solve business problems and deliver value and truly unique insights. They are looking for Data Engineers that will work on the collecting, storing, processing, and analysing of large sets of data.

The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company and to help build out some core services that power Machine Learning and analytics systems.

Key Responsibilities: Data Engineer:

* Ability to process and rationalize structured data, message data and semi/unstructured data and ability to integrate multiple large data sources and databases into one system

* Proficient understanding of distributed computing principles and of the fundamental design principles behind a scalable application

* Strong knowledge of the Big Data eco system, experience with Hortonworks/Cloudera platforms

* Practical experience in using HDFS

* Practical expertise in developing applications and using querying tools on top of Hive, Spark (PySpark)

* Strong Scala skills

* Experience in Python, particularly the Anaconda environment and Python based ML model deployment

* Experience of Continuous Integration/Continuous Deployment (Jenkins/Hudson/Ansible)

* Experience with using GIT/GITLAB as a version control system.

Nice to Haves

* Knowledge of at least one Python web framework (preferably: Flask, Tornado, and/or twisted)

* Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 would be a plus

* Good understanding of global markets, markets macrostructure and macro economics

* Knowledge of Elastic Search Stack (ELK)

* Experience with Google Cloud Platform (Data Proc / Dataflow)

Domain Knowledge:

* Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context.

* Knowledge of Trade Finance or Securities Services particularly useful.

* Knowledge of one or more of the following domains (including market data vendors):

* Party/Client

* Trade

* Settlements

* Payments

* Instrument and pricing

* Market and/or Credit Risk Need Experience using below languages/tools:

* Java

* HQL, SQL

* Querying tools on top of Hive, Spark (PySpark)

* Scala

* Python, particularly the Anaconda environment

* GIT/GITLAB as a version control system

Data Engineer My global financial client are looking for a Data Engineer to help deliver an ecosystem of enriched and protected sets of data - created from raw, structured and unstructured sources.

Data Engineer

My global financial client are looking for a Data Engineer to help deliver an ecosystem of enriched and protected sets of data - created from raw, structured and unstructured sources. My client has over 300 sources and a rapidly growing book of work. We are utilising the latest technologies to solve business problems and deliver value and truly unique insights. They are looking for Data Engineers that will work on the collecting, storing, processing, and analysing of large sets of data.

The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company and to help build out some core services that power Machine Learning and analytics systems.

Key Responsibilities: Data Engineer:

* Ability to process and rationalize structured data, message data and semi/unstructured data and ability to integrate multiple large data sources and databases into one system

* Proficient understanding of distributed computing principles and of the fundamental design principles behind a scalable application

* Strong knowledge of the Big Data eco system, experience with Hortonworks/Cloudera platforms

* Practical experience in using HDFS

* Practical expertise in developing applications and using querying tools on top of Hive, Spark (PySpark)

* Strong Scala skills

* Experience in Python, particularly the Anaconda environment and Python based ML model deployment

* Experience of Continuous Integration/Continuous Deployment (Jenkins/Hudson/Ansible)

* Experience with using GIT/GITLAB as a version control system.

Nice to Haves

* Knowledge of at least one Python web framework (preferably: Flask, Tornado, and/or twisted)

* Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 would be a plus

* Good understanding of global markets, markets macrostructure and macro economics

* Knowledge of Elastic Search Stack (ELK)

* Experience with Google Cloud Platform (Data Proc / Dataflow)

Domain Knowledge:

* Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context.

* Knowledge of Trade Finance or Securities Services particularly useful.

* Knowledge of one or more of the following domains (including market data vendors):

* Party/Client

* Trade

* Settlements

* Payments

* Instrument and pricing

* Market and/or Credit Risk Need Experience using below languages/tools:

* Java

* HQL, SQL

* Querying tools on top of Hive, Spark (PySpark)

* Scala

* Python, particularly the Anaconda environment

* GIT/GITLAB as a version control system

Recruiting on behalf of a Marketing technology firm that specialises in the implementation and integration of tech solutions into businesses. You should have good knowledge of BI tools such as Datorama, Tableau or Power BI, and have previous experience in a data centric role either within a Marketing/Advertising agency, or in house team. Additional technical skills such as Python or Java would be highly beneficial. Recruiting on behalf of a Marketing technology firm that specialises in the implementation and integration of tech solutions into businesses. You should have good knowledge of BI tools such as Datorama, Tableau or Power BI, and have previous experience in a data centric role either within a Marketing/Advertising agency, or in house team. Additional technical skills such as Python or Java would be highly beneficial.

 

Key Experience;

• Working experience in a data analytics role
• Previous experience of working within marketing or advertising
• Exposure to BI tools such as Datorama, Tableau or Power BI
• Good stakeholder engagement skills
• Tech skills in Python, Java, SQL, R etc. would be highly beneficial

Recruiting on behalf of a Marketing technology firm that specialises in the implementation and integration of tech solutions into businesses. You should have good knowledge of BI tools such as Datorama, Tableau or Power BI, and have previous experience in a data centric role either within a Marketing/Advertising agency, or in house team. Additional technical skills such as Python or Java would be highly beneficial. Recruiting on behalf of a Marketing technology firm that specialises in the implementation and integration of tech solutions into businesses. You should have good knowledge of BI tools such as Datorama, Tableau or Power BI, and have previous experience in a data centric role either within a Marketing/Advertising agency, or in house team. Additional technical skills such as Python or Java would be highly beneficial.

 

Key Experience;

• Working experience in a data analytics role
• Previous experience of working within marketing or advertising
• Exposure to BI tools such as Datorama, Tableau or Power BI
• Good stakeholder engagement skills
• Tech skills in Python, Java, SQL, R etc. would be highly beneficial

Top Grad with a keen interest in machine learning and real world Python experience required to join a leader in Systematic Derivatives and Options Trading.

You will create Python algorithms for automated trading, using machine learning techniques, working alongside HFT Traders and Portfolio Managers. This is an excellent opportunity to work collaboratively with extremely high-performers in an innovative, energetic and fast-paced environment.

Must have the following:

• Commercial Python development
• Computer Science or similar Masters with strong mathematics from a top university

The following is advantageous, not essential:

• Experience in a high-frequency trading (HFT) environment
• Experience developing predictive models for trading
• An interest in machine learning, algorithms for automated trading.

 

Scope AT acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C s, Privacy Policy and Disclaimers which can be found at www.scopeat.co.uk

Top Grad with a keen interest in machine learning and real world Python experience required to join a leader in Systematic Derivatives and Options Trading.

You will create Python algorithms for automated trading, using machine learning techniques, working alongside HFT Traders and Portfolio Managers. This is an excellent opportunity to work collaboratively with extremely high-performers in an innovative, energetic and fast-paced environment.

Must have the following:

• Commercial Python development
• Computer Science or similar Masters with strong mathematics from a top university

The following is advantageous, not essential:

• Experience in a high-frequency trading (HFT) environment
• Experience developing predictive models for trading
• An interest in machine learning, algorithms for automated trading.

 

Scope AT acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C s, Privacy Policy and Disclaimers which can be found at www.scopeat.co.uk