understanding business challenges and creating valuable actionable insights
performing analysis using statistical and ML methods for predictive analytics, classification, clustering and regression
owning end to end responsibility of design, development & operationalisation of machine learning solutions at scale
establishing credibility across stakeholders by providing expert guidance on data science use cases and methodologies to execute
defining and implementing data management frameworks, including through definition of data management policies, standards, processes and operating procedures
elicitation and management of data requirements for large and complex transformations and translating into pragmatic solutions
running solution design for data management tooling solutions, including through assessment of functional and technical designs against business requirements
steering the deployment, implementation and rollout of new data management tooling
Requirements
analytics, modelling or software development experience including coding/software development skills
most importantly, you’ll have a passion for data. You will bring your track-record in driving data change to enable clients to achieve their business outcomes
excellent leadership skills
reliability engineer
Requirements
have worked with any of the following frameworks; release engineering, reliability engineering, business continuity and operational readiness
solid experience with Continuous Integration and Delivery pipelines such as; Jenkins, Azure DevOps, ArgoCD or Gitlab
service scalability and resiliency assessments experience
infrastructure as Code practises and technologies proficiency, such us Terraform
good practises knowledge on defining and automatically monitor and report on SLAs, SLOs, SLIs, MTTR and Error Budget
container technologies at scale hands on experience, could be Kubernetes, Openshift or cloud provider specific native technologies
good understanding of IT Service Management process engineering
fluency with observability frameworks and technologies, such as; cloud provider native, Splunk, ELK, Prometheus or Jaeger
devops engineer
Requirements
experience in Automation and Configuration Management tools such as Ansible, Chef, Puppet or Helm
data architect
Responsibility
as part of our on-going global expansion strategy, Capco is growing its UK Data Practice in our London office
you will
accompany and lead complex agile consulting projects supporting our clients with data architecture design and delivery
contribute to decisions within a project and collaborate on technical expertise and known practices and precedents
help to play a role in supporting Capco Data Architecture business development
we are currently seeking to recruit management consultants with data architecture expertise to manage and develop teams to support large scale transformation projects for our leading Financial Services clients
you will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization
preferred Experience
Requirements
have a real passion for data
be an enthusiastic and energetic problem solver to join an enthusiastic team
be keen to join the team to develop the UK Data Practice capabilities and the broader Global Data Practice to support industry changing topics
be comfortable in a content heavy role must demonstrate strong business knowledge and sound business sense, and stay abreast of the industry, business-wise and technology-wise
data scientist
Responsibility
joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork
we celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success
help transition from development environment to production
act as a subject matter expert in data science and machine learning and coach other data scientists
it’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different
develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems
such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require
technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts
Requirements
hands-on experience in building and implementing data science and machine learning solutions to tackle business problems
comfort with rapid prototyping and disciplined software development processes
demonstrated ability to work on multi-disciplinary teams with diverse skillsets
deploying machine learning models and systems to production
experience of working in cloud environments
experience with Python, ML libraries data tools and technologies , and toolkits for ML and deep learning
excellent leadership skills
management accountant
Responsibility
monthly project revenue recognition, accounting and reconciling
monthly control and reconciliation of Unbilled Revenue, along with ageing analysis
direct liaison with external auditors in completing audit review, including regulatory auditors
be involved in ad-hoc tasks and projects which influence the financial accounting operations in UK and other related regions
adhoc reclasses when required
the Management Accountant will provide direct support to the Head of UK Finance, based in London and working in the Finance team of four, the main purpose of the role is to perform the revenue recognition accounting, alongside other financial month-end processes
deferred revenue and bad debt provisions
partnering with Human Resources to ensure contractor headcount, costs and margins align with business expectations
Requirements
adaptable, flexible, reliable, professional and proactive
self-starter with excellent analytical skills of large data sets and attention to detail
takes pride in their work, energetic, resilient and takes ownership for the end to end revenue recognition process
deadline orientated with effective time management and ability to work under pressure
ability to quickly build relationships with internal and external contacts at all levels with confidence
sound double entry and financial accounting knowledge
newly qualified or qualified by experience with minimum 4 years of core accounting knowledge ideally within professional services industry, Tech, banking or consulting environment
solid experience of carrying out balance sheet reconciliations and dealing with historical outstanding items
principal engineer
Requirements
you will have experience working with some of the following Methodologies/Technologies
strong cloud provider’s experience on at least one of AWS, Azure or GCP
strong cloud provider's experience on at least one of AWS, Azure or GCP
hands on experience using Scala/JAVA
experience with schema design using semi-structured and structured data structures
experience on messaging technologies – Kafka, Spark Streaming, Amazon Kinesis
good understanding of key security technologies, protocols e.g. TLS, OAuth, Encryption
strong experience in SQL
senior developer
Responsibility
build efficient back-end features in Python
contribute to CI/CD & Test automation
implement best practise API designs including security
help design and implement functional requirements
prepare technical documentation
collaborate with Frontend Developers to implement design into the code
implement software enhancements and suggest improvements
joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to #BeYourselfAtWork
Requirements
strong software engineering skills, including object-oriented design and an understanding of system design patterns
event-driven systems & streaming platforms such as Kafka
experience in trade finance or banking
experience with security patterns such as: JWT, distributed authentication
python developer
Requirements
extensive commercial experience as a Python engineer using a variety of frameworks
you follow object-oriented design concepts
experience of Git & a good understanding of CI/CD best practices
experience with testing both traditional and serverless cloud apps and BDD/TDD
good understanding of different databases
strong organisational skills, able to juggle multiple tasks within the constraints of timelines and budgets
you're a strong communicator with an ability to explain complex solutions to non-technical audiences
you’re a strong communicator with an ability to explain complex solutions to non-technical audiences
market researcher
Requirements
financial service and industry knowledge…
understanding of technology trends and how they are impacting financial service
ability to conduct basic statistical analysis of surveys and other datasets
understanding of the design thinking process and the role of research in new product development
Changes in earnings for the position investment analyst