Java Developer Fintech

Ph.D Search & Selection ltd
London (Central)
From £75,000 to £120,000 per annum + options
10 Oct 2016
19 Oct 2016
Contract Type
Our client is a young, Fintech with a pioneering new concept for the financial markets. Key to our offering is our enterprise-grade technology platform. This is a unique opportunity that will allow you to play a part in shaping the future of finance and be rewarded accordingly. Over the past 12 months, they’ve built a top team from across the financial markets. They’ve increased throughput and reached a number of important milestones for the core application architecture. The offering has been well received by clients and were expanding the team to meet demand. Our risk/quant capability is of strategic importance to our growth we are looking for Quant Developers to participate in the design and delivery with real input into the business offerings. Your work will be used, your code will get re-use, and your software will be adopted without politics. You will be assessed on how well your software works. If your software works, you will have opportunities for greater influence. If your software is poorly architected and/or cannot be made to function, then others will most likely be invited in to fix or take over your project. This is a pure meritocracy. Responsibilities and activities for this role include: •Quantitative (e.g. Pricing and Risk) model integration •Research and Development of new product/service opportunities through back-testing •Risk system development •Deployment of grid/distributed calculations •Working closely with Quant analysts and business users •Contributing to the broader computer architecture across the team. Successful candidates must have a passion for Java Enterprise engineering, be numerate and highly motivated and accountable. At a minimum candidate must be able to demonstrate the following skills: •5 years core Java development in large enterprise applications. •2:1 degree in Maths, Physics or comparable numerate degree •Experience with risk model integration, back-testing, financial maths. •Server side multi-threaded Java / J2EE •Strong RDBMS or Big Data (Hadoop, etc.) skills •Experience with scripting languages (e.g. Python, Groovy, etc.) •Able to participate in architectural discussions and offer innovative ideas •Strong communication skills: Able to explain concepts to non-developers as well as to peers. •Pragmatic and delivery focused. •Strong domain knowledge around Fixed Income and/or Credit Derivatives In addition exposure to any of the following is highly desirable: •Experience with tools such as Matlab, StatPro, FactSet •Exprerience with REDIS or similar technologies •Avro, Stax, Protobuf •Git, Maven, Hudson/Bamboo, JIRA, Puppet, Selenium •JMS and asynchronous MOM architectures This job was originally posted as