Data Analytics Developer

JP Morgan
Competitive + Benefits
25 Aug 2016
28 Oct 2016
Contract Type
EMEA Banking Tech Advisory – Data Analytics Developer Bournemouth. Associate / VP The EMEA Banking Tech Advisory team works in partnership with the EMEA Treasury Services business to develop a point of view on the benefits of emerging technologies; to prioritize the adoption of selected technologies based on their ability to win and retain business, and to drive the rapid deployment of successful Proof of Concepts (PoCs). We are currently undertaking a PoC for Predictive Analytics and would like to recruit a lead developer with strong analytics knowledge to drive the initiative forward. As we are a small team, we are looking for an experienced, independent, fast learning technical all-rounder with strong analytical and problem solving skills. The candidate will be initially responsible for the successful delivery of the Predictive Analytics POC technology and its subsequent production deployment. As a key development resource in the Tech Advisory team, the successful candidate will also help drive future PoCs in other selected technologies. The PoC will include the research, design, development & deployment of the Predictive Analytics system, front to back. This will include working across Banking Technology to review and integrate multiple data sources; develop analytics models and algorithms to transformation data into information / insights, and to recommend specific business actions. The POC will also include the selection and integration of visualisation tools. Please note that this is a hands-on coding and technology integration role, and the successful candidate will spend a significant time writing code and installing / integrating technology. The role would ideally suit someone with experience or a strong interest in data science. Skills Development skills · Hands-on developer with a particular focus on data and analytics technologies including data ETL, analytical modeling, data mining, information processing and visualisation · Experience of scalable data management tools including Relational and NoSQL databases (ideally Oracle, Spark, Neo4J) · Demonstrat ed experience of analytical development languages (ideally Python) · Systems architecture skills including previous experience of developing REST API. Big Data architectures a strong plus · Any experience of AI, Deep Learning or Machine Learning would be beneficial Agile / Scrum development methodology · Experience of Non Functional Testing (NFT) with a focus on scalability and performance tuning · Take initiative in evaluating and adapting new technical approaches from data science research Analysis skills Partner with the Tech Advisory Business Analyst to understand requirements and translate into a technical solution · Solve complex information requirements problems via a combination of judgment and proven analytic practices Demonstrated knowledge of data modeling · Understanding of probability, statistics, and time series analysis Team / Individual skills · Ability to harness multiple technology teams across Banking technology to drive the PoC · Collaborate & brainstorm with business stakeholders to understand and analyse needs. Ability to communicate findings and obstacles · Great communication skills, team player, self-starter, demonstrated strong work ethic · Proven ability to work independently Education & Qualifications Bachelor's degree in MIS, Computer Science, statistics, mathematics, physical sciences or other quantitative discipline This job was originally posted as

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