Java Developer - Big Data at JPMorgan Chase Bank, N.A. (Jersey City, NJ)

Java Developer - Big Data at JPMorgan Chase Bank, N.A. (Jersey City, NJ)


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Company:
Location: Jersey City, NJ
Type: Full Time
Created: 2021-10-12 05:00:17

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About Chase:

Chase is the U.S. consumer and commercial banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.4 trillion and operations worldwide. Chase serves nearly half of America's households with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Customers can choose how and where they want to bank: 5,200 branches, 16,000 ATMs, mobile, online and by phone. For more information, go to Chase.com.

CCB Data& Analytics:

CCB Data & Analytics Team unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers. The team encompasses a variety of Data & Analytics disciplines, from data governance and data strategy/partnerships to reporting, data science and machine learning, and are actively engaged in ensuring impact at the front-line and the customer through Sales and Marketing transformation. We have a strong partnership with our dedicated Technology partners, who provide us with our cutting edge data and analytics infrastructure. Joining CCB Data & Analytics means you sit in the engine that powers Chase with insights and data science solutions, providing an opportunity to materially impact both our customer and business outcomes. The team also offers significant learning and mobility opportunities for career development and future growth.

CCB Architecture, Data & Engineering:

Chase is on a mission to deliver a customer-obsessed experience by improving clock speed and providing first class customer interactions. ADE's tools are building app infrastructure, improving app quality, and growing our business. Data is central to everything we do. The data is just as crucial as the features of the business. It's in terms of the data that outstanding businesses define their success criteria. ADE mission to modernizing our tools, standards and practices enables our engineers to focus on writing sustainable code and tests and strikes a necessary balance between consistency and innovation.

Position Overview

The role is a unique opportunity for an experienced, well-rounded, and hands-on practitioner in analytics. The team is responsible for providing analytical support for Data and Analytics teams playing a critical role in helping the D&A the most impactful opportunities for Analytics and MLAI deployment in operations. The position offers an opportunity to work on big data and apply data science skills to support the development of engineering solutions.

Responsibilities:

Provide thought leadership on Bigdata best practices, methods and tools for analytical work in the ADE platform engineering in order to identify most impactful opportunities for ADP Operations

Lead, develop, plan, and execute analytical work, individually and with the team, working with Large scale datasets and Big Data environment.

. Automation using Python, Java, or Unix shell scripting.

. Engineer solutioning for applications using Spark, Hive or Impala.

. Large scale data management and administration.

. Performance tunning and troubleshooting Cloudera Hadoop platform.

Partner and work closely with product owners and other leads to ensure feasibility and progress of the product delivered by the ADP

Work side by side with modeling lead to ensure the best ML and AI solutions are being delivered to the business

Enforce Analytics best practices

Have a clear view of metrics of success, model and implementation feasibility and impact to customer

Share latest ML AI efforts in the industry that can improves operations efficiency and lower OpEx

Lead, train and coach more junior associates in the team

Help build a team of strong, business savvy and self -driven analytical talent

Synthesize analytical findings for consumption by garage teams and senior executives

Deliver practical data insights in a compelling manner actionable by our partners

Articulate analytical findings in clear and concise deliverables, including presentations, discussions, and visualizations

Establish and manage relationships with our internal partners becoming a trusted advisor on business data and analytics techniques, with strong understanding of business drivers and underlying data

Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity and professional behavior

Qualifications and Required Skills :

5+ years of hands on industry experience in leveraging data science (including ML) and analytics to solve business problems

Bachelor's degree in relevant quantitative field required, advanced degree preferred .

. Advanced knowledge of application, data and infrastructure architecture disciplines.

. Understanding of architecture and design across all systems.

. Working proficiency in Linux and Distributed administration toolsets like Ansible.

. Development experience and knowledge of big data technologies like Hadoop/HIVE/Spark, Scala, Python, HBase, Cloudera.

. 3+ years of professional experience with Hadoop/HDFS/MapReduce.

. 3+ years of experience with NoSQL data stores.

. 3+ years of relational database software development experience

Thought leader in data science and analytics who can help the business define their business problem, create solutions to address it, plan and execute the implementation

Intellectually curious and self-driven to understand business domains and their data

Expert knowledge in quantitative methods for business, advance data science methods and ML

Familiarity with Agile, experience with Agile is a plus.

. Familiar with development tools such as Jenkins, Git/BitBucket, Jira, etc.

Experience in practical data processing working with large scale datasets and Big Data environment, data mining, text mining and information retrieval tasks

Experience across broad range of modern data science and analytics tools (e.g., SQL, Hive, Hadoop, Spark, Python)

Proficiency in SQL and Python required.

Ability to work in large and medium sized project teams, as self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic

Excellent communicator able to convey complex information in an understandable, compelling, and persuasive manner at all levels

Experience of leading teams with a proven track record of being driving value for the business;

Financial services background preferred, but not required

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

Equal Opportunity Employer/Disability/Veterans