A client of mine based in London is looking to on board a Software Development Team lead on a permanent basis, they are a Fin-Tech start up with major backing and are now in a position of growth leaving them with multiple requirements in the Development space.

About the Role

The Development Team Lead will be an agile leader from a technical background who is responsible for successful delivery management and oversight of software development projects. This is an excellent opportunity to utilise your delivery expertise whilst also adding technical value and mentorship to your team in an innovative, fast paced start up environment.

You will work closely with the product team and solution architect to manage the successful agile delivery of our software and empower the team to deliver high quality, secure and scalable cloud native products.

The role will suit someone with a technical background, who is comfortable leading teams of developers and enjoys working on innovative projects with leading edge technologies.

Responsibilities

• Leading software development teams in delivery of web based applications.
• Owning task management, working closely with the development team to ensure timely delivery of high-quality software solutions.
• Promoting modern development practices, code reviews, CI/CD, test automation, documentation review.
• Running agile project teams with a mix of remote and onshore resources.
• Building a strong team culture where developers feel valued and empowered to meet their full potential.
• Helping with recruitment and retention of developers and managing vendor relationships.
• Managing the technical operations of a client facing software product, monitoring of cloud infrastructure, scaling, performance and cost control.

Skills

• A detail orientated technical leader with recent hands on experience in software development delivery, although the role does not require coding, sufficient technical knowledge is required to be able to direct the development team.
• Must have recent web application software development lifecycle experience, leading teams of offshore software developers (EU).
• Must have excellent task management skills, within an agile approach, using tools such as Jira or Asana.
• Experience with any combination of the following technologies and techniques: cloud application services, REST APIs, React/Node JS, .Net, Java, SQL and NoSQL databases, Python data pipelines, orchestration, CI/CD, AI, ML.
• A good understanding of modern web application architecture design patterns (MVC).

Randstad Technologies Ltd is a leading specialist recruitment business for the IT industry. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

A client of mine based in London is looking to on board a Software Development Team lead on a permanent basis, they are a Fin-Tech start up with major backing and are now in a position of growth leaving them with multiple requirements in the Development space.

About the Role

The Development Team Lead will be an agile leader from a technical background who is responsible for successful delivery management and oversight of software development projects. This is an excellent opportunity to utilise your delivery expertise whilst also adding technical value and mentorship to your team in an innovative, fast paced start up environment.

You will work closely with the product team and solution architect to manage the successful agile delivery of our software and empower the team to deliver high quality, secure and scalable cloud native products.

The role will suit someone with a technical background, who is comfortable leading teams of developers and enjoys working on innovative projects with leading edge technologies.

Responsibilities

• Leading software development teams in delivery of web based applications.
• Owning task management, working closely with the development team to ensure timely delivery of high-quality software solutions.
• Promoting modern development practices, code reviews, CI/CD, test automation, documentation review.
• Running agile project teams with a mix of remote and onshore resources.
• Building a strong team culture where developers feel valued and empowered to meet their full potential.
• Helping with recruitment and retention of developers and managing vendor relationships.
• Managing the technical operations of a client facing software product, monitoring of cloud infrastructure, scaling, performance and cost control.

Skills

• A detail orientated technical leader with recent hands on experience in software development delivery, although the role does not require coding, sufficient technical knowledge is required to be able to direct the development team.
• Must have recent web application software development lifecycle experience, leading teams of offshore software developers (EU).
• Must have excellent task management skills, within an agile approach, using tools such as Jira or Asana.
• Experience with any combination of the following technologies and techniques: cloud application services, REST APIs, React/Node JS, .Net, Java, SQL and NoSQL databases, Python data pipelines, orchestration, CI/CD, AI, ML.
• A good understanding of modern web application architecture design patterns (MVC).

Randstad Technologies Ltd is a leading specialist recruitment business for the IT industry. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Data Analytics Engineer - Newbury

Inside IR35

£280-320p/day

Location: Newbury -United Kingdom

Length of contract: 6 Months +

Security requirements: Basic Security Clearance

Working hours: Normal week day working hrs with occasional travel.

Role purpose:

Use advanced programming and analytical methods to acquire, process and analyse big data from multiple data sources including big data platforms

• Utilise programming modules to integrate machine learning into Networks Data Analytics
• Visualise big data in tools such as QlikSense/Tableau to enable the network team and the wider business to make decisions based on data-driven insights
• Outline, develop, and implement new analytics products and outputs
• Create and enable capabilities to improve and automate Network processes and tasks
• Demonstrate strategic implementation, planning, thinking and communication with counterparts and colleagues across all levels
• Own and implement best practice in ETL through to visualisation
• Owning and develop SMART CapEx modelling and other analytical outputs for executive level audiences
• Work with IT, Big Data, and AWS architecture to design and operate an efficient analytics environment

Skills required:

• Experience in various programming languages with Python and SQL
• Experience using Pandas and Numpy Python modules
• Knowledge of database operation and management
• Telco Expertise
• Use of analytical visualisation tools such as ESRI and Qlik Sense

Data Analytics Engineer - Newbury

Inside IR35

£280-320p/day

Location: Newbury -United Kingdom

Length of contract: 6 Months +

Security requirements: Basic Security Clearance

Working hours: Normal week day working hrs with occasional travel.

Role purpose:

Use advanced programming and analytical methods to acquire, process and analyse big data from multiple data sources including big data platforms

• Utilise programming modules to integrate machine learning into Networks Data Analytics
• Visualise big data in tools such as QlikSense/Tableau to enable the network team and the wider business to make decisions based on data-driven insights
• Outline, develop, and implement new analytics products and outputs
• Create and enable capabilities to improve and automate Network processes and tasks
• Demonstrate strategic implementation, planning, thinking and communication with counterparts and colleagues across all levels
• Own and implement best practice in ETL through to visualisation
• Owning and develop SMART CapEx modelling and other analytical outputs for executive level audiences
• Work with IT, Big Data, and AWS architecture to design and operate an efficient analytics environment

Skills required:

• Experience in various programming languages with Python and SQL
• Experience using Pandas and Numpy Python modules
• Knowledge of database operation and management
• Telco Expertise
• Use of analytical visualisation tools such as ESRI and Qlik Sense

DevOps Engineer

NodeJS / Java / OpenSource Dev Ops Engineer is required to join Fintech organisation within their infrastructure team. You will be responsible for the maintenance and support of their hosting environments, in addition to the building and deployment of their market-leading stochastic modelling solutions to the financial services industry from internal test systems to the production deployment.

Required Knowledge & Experience
We are looking for someone with 5+ years’ experience in a DevOps type role.

• Excellent working knowledge of Linux (Debian) administration

• Production Kubernetes experience

• Extensive knowledge of building, deploying and running Node.JS applications in a cloud environment

• Docker

• Mongo database

• Advanced SQL Admin skills, MySQL preferred, with experience of Galera cluster a plus.

• A good understanding of Java is advantageous

• Jenkins

• AWS

• OpenNebula

• Git, SVN

• Knowledge of ITIL v4

Desirable experience :

• Artifactory

• Maven, Ant

• An appreciation of financial services, pensions and investments a plus

For further details please contact Katie Collins.

DevOps Engineer

NodeJS / Java / OpenSource Dev Ops Engineer is required to join Fintech organisation within their infrastructure team. You will be responsible for the maintenance and support of their hosting environments, in addition to the building and deployment of their market-leading stochastic modelling solutions to the financial services industry from internal test systems to the production deployment.

Required Knowledge & Experience
We are looking for someone with 5+ years’ experience in a DevOps type role.

• Excellent working knowledge of Linux (Debian) administration

• Production Kubernetes experience

• Extensive knowledge of building, deploying and running Node.JS applications in a cloud environment

• Docker

• Mongo database

• Advanced SQL Admin skills, MySQL preferred, with experience of Galera cluster a plus.

• A good understanding of Java is advantageous

• Jenkins

• AWS

• OpenNebula

• Git, SVN

• Knowledge of ITIL v4

Desirable experience :

• Artifactory

• Maven, Ant

• An appreciation of financial services, pensions and investments a plus

For further details please contact Katie Collins.

An exciting opportunity to join a dynamic and bleeding edge development team within a growing London Market insurance business and be responsible for the development, implementation, and maintenance of innovative software and processes primarily in support of the company's actuarial function.

The successful candidate will work directly with both the development and actuarial teams and must therefore be able to effectively communicate and work with both groups.

Duties and Responsibilities

• Development of the proprietary risk management platform, with a focus on the back-end calculation engine.
• Implementation of insurance catastrophe risk models.
• Designing and developing robust tools and reports.
• Liaising with actuarial and risk teams to thoroughly understand user requirements, demonstrating a continual focus on long term effectiveness, simplicity of solutions, and appropriate controls.
• Effective documentation in order to mitigate business risks including key man dependencies.

Essential Qualifications, Skills & Experience

• University Degree in Software Engineering, Mathematics, Physics, or a related field
• Demonstrated ability to grasp complex mathematical concepts; numerical methods, linear algebra, statistics, algorithms
• At least 2 years high performance computing / programming experience
• Experience with Julia, SQL preferred or C++, MATLAB and Python
• Ability to work in a fast paced, agile development team environment
• Experience of working within the London Market insurance industry

An exciting opportunity to join a dynamic and bleeding edge development team within a growing London Market insurance business and be responsible for the development, implementation, and maintenance of innovative software and processes primarily in support of the company's actuarial function.

The successful candidate will work directly with both the development and actuarial teams and must therefore be able to effectively communicate and work with both groups.

Duties and Responsibilities

• Development of the proprietary risk management platform, with a focus on the back-end calculation engine.
• Implementation of insurance catastrophe risk models.
• Designing and developing robust tools and reports.
• Liaising with actuarial and risk teams to thoroughly understand user requirements, demonstrating a continual focus on long term effectiveness, simplicity of solutions, and appropriate controls.
• Effective documentation in order to mitigate business risks including key man dependencies.

Essential Qualifications, Skills & Experience

• University Degree in Software Engineering, Mathematics, Physics, or a related field
• Demonstrated ability to grasp complex mathematical concepts; numerical methods, linear algebra, statistics, algorithms
• At least 2 years high performance computing / programming experience
• Experience with Julia, SQL preferred or C++, MATLAB and Python
• Ability to work in a fast paced, agile development team environment
• Experience of working within the London Market insurance industry

Role: Data Science Specialist

Location: Switzerland, Geneva

Job Description :

Tools: Python, R, SQL, Tableau, Visio, Neo4J, Neptune, Athena, Glue, Spark

Skills:
• Expert knowledge and experience developing data products in Python or R.
• Expert knowledge and experience with data visualization tools and methods.
• Expert knowledge of clustering and classification models and strategies.
• Expert knowledge of graph databases and graph theory.
• Expert knowledge and experience of data engineering tools and methods.
• Knowledge of AWS data architecture (Data Lakes, Athena, Glue).
• Knowledge of UX/CX concepts.
• Knowledge of provisioning of data APIs.
• Knowledge of machine learning and predictive modelling.
• Knowledge of Entity Resolution tools and techniques.
• Knowledge of Natural Language Processing tools and techniques.
• Confident communicator and team player, with an advance level of written and spoken English.

The Data Science Specialist forms part of the project office delivery team and provides the required expertise to design and establish the different components of the IP Analytics Platform, using an interactive/agile approach.
(a) Provide time sensitive analyses on various customer and business questions.
(b) Perform data mining to establish potential relationships between multiple datasets.
(c) Perform clustering and classification analysis on large datasets.
(d) Identify and address privacy and confidentiality concerns. Collaborate with the establishment of data-handling practices to ensure the Organization’s information security guidelines are followed.
(e) Prepare reproducible analyses using data science notebooks.
(f) Use multiple statistical and machine learning methods to build and derive value from customer graphs.
(g) Establish model drift monitoring strategies.
(h) Prepare concise data reports and present information using visualization techniques to management and stakeholders.
(i) Identify and communicate how structured and unstructured data can be used to enrich datasets and increase knowledge about the customer.
(j) Define relevant features for data modelling and collaborate with the project team in their implementation.
(k) Collaborate with business areas to improve adoption of data science-based insights into their decision-making process.
(l) Assist the project team to define and implement suitable tools and processes to operationalize data models.

Role: Data Science Specialist

Location: Switzerland, Geneva

Job Description :

Tools: Python, R, SQL, Tableau, Visio, Neo4J, Neptune, Athena, Glue, Spark

Skills:
• Expert knowledge and experience developing data products in Python or R.
• Expert knowledge and experience with data visualization tools and methods.
• Expert knowledge of clustering and classification models and strategies.
• Expert knowledge of graph databases and graph theory.
• Expert knowledge and experience of data engineering tools and methods.
• Knowledge of AWS data architecture (Data Lakes, Athena, Glue).
• Knowledge of UX/CX concepts.
• Knowledge of provisioning of data APIs.
• Knowledge of machine learning and predictive modelling.
• Knowledge of Entity Resolution tools and techniques.
• Knowledge of Natural Language Processing tools and techniques.
• Confident communicator and team player, with an advance level of written and spoken English.

The Data Science Specialist forms part of the project office delivery team and provides the required expertise to design and establish the different components of the IP Analytics Platform, using an interactive/agile approach.
(a) Provide time sensitive analyses on various customer and business questions.
(b) Perform data mining to establish potential relationships between multiple datasets.
(c) Perform clustering and classification analysis on large datasets.
(d) Identify and address privacy and confidentiality concerns. Collaborate with the establishment of data-handling practices to ensure the Organization’s information security guidelines are followed.
(e) Prepare reproducible analyses using data science notebooks.
(f) Use multiple statistical and machine learning methods to build and derive value from customer graphs.
(g) Establish model drift monitoring strategies.
(h) Prepare concise data reports and present information using visualization techniques to management and stakeholders.
(i) Identify and communicate how structured and unstructured data can be used to enrich datasets and increase knowledge about the customer.
(j) Define relevant features for data modelling and collaborate with the project team in their implementation.
(k) Collaborate with business areas to improve adoption of data science-based insights into their decision-making process.
(l) Assist the project team to define and implement suitable tools and processes to operationalize data models.