ABOUT THE PROJECTS
Were currently working with a well-known financial services organisation in Sydney who are currently using Calypso V14.2 as a front to back office system for Fixed income and IR derivatives business.
Functional and technical analysis
Functional requirements and technical requirements gathering
Documentation of techno/functional requirements
Configuration of Calypso module
Experience In Calypso (Ideally V14 and above )
Good knowledge of Front Office. (Trade Capture, Risk/Pricing Validation, Risk Reports (CWS/OPL etc)
Experience of Calypso implementations and upgrades
Experienced in functional and technical requirements gathering / documentation
Comfortable with test planning and execution
Excellent knowledge of Fixed Income and Security Financing Business. Understands market conventions and comfortable dealing with FO Traders.
Artificial Intelligence and Machine Learning (AI & ML) is revolutionising large parts of the financial services industry..
Excelian’s Digital Consulting team is investing heavily in these technologies, and is actively building up a new AI, ML and Analytics Practice – we are therefore looking to hire Data Scientists into our newly-formed London AI & ML team. This will complement our existing Digital
Experience, Data Science, Big Data Engineering, Cloud and Grid Computing, and DevOps areas.
The new practice is a start-up environment within a large company – you will be conducting analysis, design and development of prototypes and POCs, using cutting-edge techniques, and with major clients. However, we are not alone – there is an active AI community within the broader Luxoft, focussed on other verticals (eg automotive and healthcare).
We are interested in hearing from individuals with a strong AI & ML background. Deep Learning and NLP, and associated techniques are of particular interest, as is AI / human interaction.
Current projects include (among others) :
Extraction of information about trades and market features from instant messages and various other channels
Analysis and development of predictive analytics for trading in certain markets
Development of sector-specific intelligent assistants
You will work alongside a strong, global team of individuals with diverse backgrounds and skills in analytics and data science to:
Analyse, design and develop AI & ML prototypes and proof of concepts
Identify and ingest data sources, whether internally or for clients, and perform feature engineering for integration into models
Build analytical data models on ML platforms, to successfully realise client goals.
You will assist the practice in:
Developing practice thought leadership materials Participating in pre-sales work and client work as necessary
Discovering and verifying opportunities for new business Helping to structure work, planning new analyses, translating business questions into analytical projects
You will collaborate with business and technology partners to grow and develop the data science practice
Your Skills Required:
Strong modelling skills in one or more of neural networks, classification, clustering and regression problems, NLP, multivariate analysis (MVA), time series, and similar
Hands-on experience applying machine learning techniques using packages such as scikit-learn, TensorFlow, Keras, Theano, and DSSTNE
Solid engineering and scripting skills in one or more of Python, R, SAS, Matlab and SPSS
Excellent analytical skills
Strong communication and presentation skills, both verbal and written. The successful candidates will be expected to communicate effectively with both business and technical teams
Experience in using mainstream languages to acquire, clean, and model large data sets.
Experience in visualizing and communicating data using tools such as Qlik, Tableau, or packages d3.js, and Seaborn.
Good understanding of sourcing and wrangling data from warehouses, Big Data (e.g. Hadoop, Spark) and other sources using SQL and scripting
Your Experience Required:
Post-graduate degree in Mathematics, Statistics, Engineering, Computer Science, Computational Statistics, Physics, Operations -Research or other similar quantitative field
At least two years of experience in data science, in particular in designing, developing, validating, and deploying predictive models
Experience with advanced Machine Learning techniques including neural networks, deep learning, and reinforcement learning, as well as a background in more classic machine learning techniques
Experience in the analysis of large, complex, multi- dimensional data-sets with a variety of analytical methods
Experience in projects involving cross-functional teams
Luxoft is a global IT service provider of innovative technology solutions that delivers measurable business outcomes to multinational companies. Its offerings encompass strategic consulting, custom software development services, and digital solution engineering. Luxoft enables companies to compete by leveraging its multi-industry expertise in the financial services, automotive, communications, and healthcare & life sciences sectors. For more information, please visit the website .
Development of a web application in market risk area for Swiss based financial institution.
Demonstrate a systematic and disciplined architecture, system design and programming approach following a standard software development lifecycle
Meticulous attention to detail and strong focus on clear and practical documentation
Work closely with senior management, Development Manager, Project Manager, and a team of developers.
Design, Code, Unit Test and support Software components
Deliver quality software in a time following standard software development processes
Analyze problems raised in software development or production environments and provide timely solutions
Develop, prepare and maintain system documentation, including program descriptions, operational procedures etc.
Act as the second line of support during production problems.
At least 5 years of hands-on experience in IT
Sound understanding of Java, JavaEE, NoSQL
Exposure to broader web technologies such as REStful API's
Demonstrable Experience of TDD and BDD
Good communication skills in both written and oral English.
Should have a technical or numerate degree in subjects such as Computer Science, Engineering, Mathematics or Economics, advanced degree preferred.
Exposure to GIT, Jira
Knowledge of open source solutions and trending technologies
Exposure to Continuous Build and Deployment Solutions such as Jenkins
NICE TO HAVE
Financial Markets domain knowledge & experience
Worked within an Agile environment using methodologies such as Scrum / KanBan / XP and Lean
Excelian is looking for SMEs in the Data space to assist our clients in designing and architecting solutions which can process analytics and AI/ML workloads across very large data sets. The objective is to deliver best-in-class solutions for our FS clients globally. You will need to be one of the bests technologists out there, but also have an entrepreneurial mindset to work with our Sales and Management teams to build the offering, take it to market and deliver it by continuing to build the team further. You must be highly collaborative, happy to partner and passionate about technology.
Excelian Digital Consulting is a team of energetic, enthusiastic, expert individuals working together to deliver cutting edge software solutions for the financial services industry. You will be instrumental in helping us find, adapt and invent solutions for complex scenarios. You will be involved in solving workflow problems, developing new ways of visualising data, and working out what digital solutions the client needs in their solution that even they don't realise yet
You will work alongside a strong, global team of individuals with diverse backgrounds and skills in digital consulting to:
Design solutions leveraging Big Data and Cloud-based solutions targeted at data processing Deliver PoCs for clients Lead teams to deliver solutions as architect and/or tech lead Participate in pre-sales to design architectures and formalise solutions tailored to their needs Engage with the relevant vendors in the space to maintain technology relationships and stay abreast of the latest developments Produce thought leadership collateral for our magazine www.excelian.com/techspark
Strong understanding of the various tech ecosystems in the Data space (Hadoop, NoSQL, data streaming, Cloud-based)
Hands-on experience (4y min) with the Hadoop ecosystem
Hands-on experience with Cloud-based data processing solutions
Experience working in an Agile / DevOps environement and in applying this approach to data-driven solutions
Excellent presentation and communication skills, eagerness to engage with clients on solutions with a creative mindset
Experience with Financial Services workloads
Experience with cloud-based data streaming solutions
Exposure / experience to AI/ML solutions, patterns and development languages
Understanding of data visualisation and patterns / solutions available on the market (Tableau, Clikview, Panopticon)