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  • 12 - 15 Years
  • Posted : 28 days ago

Job Description:

JP Morgan is a leader in financial services, offering innovative and intelligent solutions to clients in more than 100 countries with one of the most comprehensive global product platforms available We have been helping our clients to do business and manage their wealth for more than 200 years and we keep their interests foremost in our minds at all times This combination of product strength, intellectual capital and character sets us apart as an industry leader JP Morgan is part of JP Morgan Chase & Co (NYSE JPM), a global financial services firm with assets of $20 trillion

The Chief Technology Office (CTO) aims to deliver technology efficiently and effectively with the right capabilities and the best talent for the firm, while removing friction that slows delivery The Big Data and Machine learning group within the Chief Technology Office owns the Strategy and Pattern for Big Data and Machine Learning for the firm We enable advanced analytics for the Lines of Business through the use of Big Data and Machine Learning design patterns and common services

Job Summary

We are looking for a strong Engineering leader with demonstrated expertise in leading and driving Enterprise Level Engineering and Development in a large and complex environment He/ She would join a team of talented technologists in the Chief Technology Office organization This highly visible and exciting role will be a critical member of the Big Data and Machine Learning team that owns the responsibility to own the Patterns, Platforms, Tools and Frameworks for the entire firm

He / She would have the breadth of experience to do define the high level strategy for the Big Data Design Patterns while having the technical depth to be able to drive execution of this strategy through identification and assessment of Industry leading Tools and Frameworks for adoption and/ or drive the in-house development of such tools and frameworks to support the objectives of the CTO Organization He/She should be willing to even involve in developing the code to develop the required product as per project needs

The successful candidate will have a passion for Engineering and Architecture with an emphasis on understanding the Big Data and Machine Learning landscape in large and complex organizations The successful candidate will also be a self-starter who can take a problem and execute with little oversight and hand-holding Finally they will also thrive in dynamic rapidly changing environments and will enjoy communicating and presenting at all levels of the organization including senior management

The successful candidate would work on building innovative products for Data usage and analytics products built for the enterprise

Qualification / Experience

Bachelors degree is required, preferably in IT or a related technical discipline An advanced degree is preferred

12 years of IT experience with a proven track record of success operating in a complex, global, fast paced environment is required

A minimum of 5 years of experience in core Engineering and architecture and/or application functions including leading software engineering or managing development teams is required

Strong knowledge and experience in various Big Data technologies and utilities -Hadoop, Spark,Scala, Hive, Impala, Pig, Kafka etc

Strong Experience in Hadoop distributions and APIs (Cloudera/Hortonworks/MAP R)

Solid experience in a core Engineering and Architecture functions at an Enterprise level

Experience of working with out-sourced/vendor-based s/w development

Experience on global/multi-site projects/teams including management of remote participants

Management of external vendor and internal supplier teams across multiple locations

Strong knowledge of analytics and consumption tools

AWS development and building Cloud capabilities would be a plus

Knowledge/Technical Skills

Strong Experience in Java,J2EE,Spark,Scala,Kafka and SOLR/Elastic Search
Expertise in engineering and architecting distributed computational products
Strong Knowledge and prior experience on Cloudera Hadoop distribution and Cloud Big Data products Cloudera Navigator experience
Strong exposure in Data Management, Governance and Controls functions
Ability to present complex information in an understandable and compelling manner
Financial Services background or experience preferred across different LOBs
Proven proficiency with data and quantitative research techniques
Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way
Detail oriented with a commitment to innovation

Personality Traits and other Skills

Ability to work with a sense of urgency in order to meet critical deadlines

Flexible and adaptable working with various business functions

Ability to consistently deliver results across shifting priorities and deadlines in fast paced environment

Excellent interpersonal skills are absolutely critical to this role

Have an open attitude towards sharing ideas and knowledge A proactive approach to problem solving, taking ownership of issues and having the determination to follow things through

Good prioritization and time management

The ability to present and absorb complex ideas quickly and accurately

The ability to motivate others

Ability to understand both the broad and the detailed picture



A team player (ie relaxed; good sense of humour etc)

A self-confident and authoritative manner without being over bearing

Attitude enthusiastic, positive, dynamic, energetic

Excellent listening, written and verbal communication skills

The ability to work within a large team, sometimes under stress, but always under control

Be prepared to fully commit outside of normal hours on a 7x24x365 basis

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Financial Services/Stockbroking
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 16th Jan 2020

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