[New Job Opening] Java / Python – Data Engineering – VP job Vacancy in JPMorgan Chase Bank, N.A., London

Are you looking for a Job in Java / Python – Data Engineering – VP Field then this post may be relevant to you.
Job Details:
Company name : JPMorgan Chase Bank, N.A.
Position Name :
Java / Python – Data Engineering – VP
Location:
London
Job ID :
105b67424e4cd417
Description : The Credit Technology team is focused on delivering best in class IT solutions to the Credit business where JP Morgan is a market leader. We are a team of around 300 people and partner closely with the quant research group and face off directly to the trading desks. Our core strength is providing technical expertise and software development skills that directly affect the ability of our business to generate revenue and remain the dominant player in the market. We are committed to hiring the brightest and best technical experts and in return can offer roles with direct trading and quant interaction on projects related to data management and integration with electronic and algorithmic trading.
We are looking to hire a front office facing data engineer, to work in our global data team focused on continuing the build out of data services for the Credit Trading business that we support.
The successful candidate will focus on development of our strategic data platform and partner closely with our business stakeholders, quantitative research partners and broader technology team of highly-skilled and business-aligned technologists. The team is responsible for data integration with our trading platform that is used by the Credit Trading business globally.
The role will combine all aspects of software development from design and build to deployment, working within a global team of experienced technologists. It requires expertise building high quality and reusable components in a service-oriented architecture. The successful candidate must be comfortable facing off directly to senior business stakeholders in a high pressure, challenging role with a focus on solving business problems via technology in a fast changing environment: time to market is critical, but without compromising on quality or performance.
Key Responsibilities
Partner with business leaders and quants on the design, build and delivery of our data workflows.
Develop robust, performant data systems using the most suitable technology choices. Align development with the overall Credit trading strategy.
Develop software for; real-time consumption of data in a low latency system, data replay and back testing, monitoring and alerting
Work closely with senior business stakeholders and traders on a day-to-day basis
Introduce new technologies and solutions to increase operational stability and to increase productivity
Key Relationships
Global Credit Trading business and Quant Research team.
Global Production Support & Infrastructure teams.
Other Credit Technology teams and core infrastructure support teams.
Development Value
Opportunity to work closely with a best-in-class trading business on projects that directly impact revenue.
Direct Exposure to a strategic firm-wide technology platform that spans multiple functions and asset classes.
Fast paced, dynamic environment with significant opportunities for career growth.
Technical Skills
Strong analytical development skills, solid understanding of computer science fundamentals and experience in real-time, high performance and eTrading areas.
Strong grasp of object oriented design and programming, multi-threaded programming and middleware technologies (e.g. RMDS, Informatica UM, Chronicle, AMPS, Tibco, Kafka).
Expertise in application, data and infrastructure architecture disciplines
Development experience with primary focus in Python and/or Java; other languages a plus.
Ideal candidate has experience with design and development in a multi-tier messaging based architecture. Experience should include building low latency, high throughput, scalable, fault-tolerant systems.
Strong database skills and experience with SQL, noSQL databases
Unix/Linux command line and shell scripting
Knowledge/Experience
Prior experience working in a front office facing data engineering role is an advantage.
The ideal candidate will likely be qualified to degree level in Computer Science, Maths or related engineering discipline.
Strong technology generalist – experience building highly performant and resilient applications used within a high performance/real-time environment.
Exposure and familiarity working in an Agile/Scrum environment is required for this role
Understanding of financial markets along with experience in electronic trading preferred
The hiring manager for this job opening would welcome a conversation about flexible working. This could range from ad hoc flexibility in a full time position, to a more formal Flexible Work Arrangement.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.
Disclaimer : Applicant must check the company profile before joining Bizplusapp.com is no way responsible for any loss.

Similar Posts

Leave a Reply

Your email address will not be published.