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Java / ETL Analyst- Wholesale Technology Team

Job Description

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2 trillion and operations in more than 60 countries. The firm is a leader in investment banking, financial services for consumers, small business and commercial banking, financial transaction processing, asset management, and private equity.

 

JPMorgan Intelligent Solutions (JPMIS) creates & commercializes solutions based on the firm’s information & analytic resources that enable consumers, businesses & governments to make better decisions and achieve their objectives.


JPMIS is looking for a Java / ETL Analyst who will report to the Wholesale Team Manager for JPMIS Data Operations. The Java / ETL Analyst is responsible for executing the growth strategy of JPMIS by designing and implementing Wholesale data assets by leveraging both internal firm resources as well as external data. The ideal candidate for this position is results-driven with a passion for transforming large disparate data sets into actionable information. This person will be an integral part of building a best-in-class data management and governance framework leveraging Big Data technologies. The ideal candidate will possess strong data mining and analytical skills, along with exceptional relationship management skills and commitment to delivering high quality solutions.

 

Responsibilities

  • Effectively partner with the Data Insights team to drive usage and improvement of the IntelliStor data asset that drives analytics within JPMIS and for our strategic partners
  • Innovate new ways of managing, transforming and validating data
  • Establish and enforce guidelines to ensure consistency, quality and completeness of all JPMIS data assets
  • Apply quality assurance best practices to all work products
  • 5+ years of experience in information technology with an emphasis on ETL and Object Oriented Development
  • Financial Services background or experience preferred – specifically as it relates to products within the Wholesale banking space (e.g., derivatives, equities, investment/wealth management)
  • 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
  • Intensive, recent experience in assessing and sourcing data needs
  • Detail oriented with a commitment to innovation

 Building Relationships and using Influence

  • Self-evident interpersonal skills
  • Recognizes nuances in reading others and leverages these to influence key stakeholders
  • Excellent communicator and listener who is able to present across all levels in the organization

 Executing for Results

  • Possesses high levels of energy and endurance
  • Rigorously holds oneself and others accountable for achieving high levels of individual and organizational performance

 Business Acumen

  • Consistently evaluates decisions in terms of impact to the business
  • Uncovers hidden opportunities in disparate data and translates them into actionable information
  • Technical expertise regarding data management frameworks and ETL solutions
  • Technical expertise regarding data models and database design development
  • Experience with SQL, ETL frameworks and data visualization tools

 Knowledge/Technical Skills

  • Experience in industry leading Business Intelligence tools
  • Experience in data mining techniques and procedures and knowing when their use is appropriate
  • 3+ years of experience utilizing and extending ETL solutions (e.g., Informatica, Talend, Pentaho, Ab Initio) in a complex, high-volume data environment
  • Ability to present complex information in an understandable and compelling manner
  • Knowledge of Big Data technologies (e.g., Hadoop, GreenPlum) is preferred
  • Knowledge of statistics, at least to the degree necessary in order to communicate easily with statisticians is a plus
  • Knowledge of Java (Core, Servlets, JDBC) or Python development
  • Experience with machine learning is preferred
  • Bachelor's or Advanced Degree in Information Management, Computer Science, Mathematics, Statistics, or related fields desired
Req #: 150049499
Location: New York, NY US
Job Category: Technology
Employment Type: Full Time
Potential Referral Amount: 0 US Dollar (USD)

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