CCB Architecture, Data, & Engineering:

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 $2.5 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.

The Chase Consumer & Community Bank (CCB) serves 61 million households and 4 million small businesses with a broad range of financial services. The Technology & Digital organizations provide support for the CCB businesses across Consumer, Business, and Mortgage Banking, Card Services, Auto Finance, and Merchant Services. Furthermore, the Architecture, Data, and Engineering (ADE) organization within CCB Technology provides the infrastructure, process, and technical acumen that drives innovation in the FinTech industry. The teams within ADE are responsible for implementing the latest technology, modernizing engineering practices, ensuring stability and control, and empowering the use of intellectual capital to support the various organization stakeholders, users, and ultimately the customer. Key objectives of the ADE are making CCB data accessible to the broader organization, redefining the process for consumption, and ensuring key performance metrics are met. The role within this particular team of CCB ADE is responsible for driving organizational transformation through the use of data, analytics, automation, and AI/ML in order to provide direct input to senior leadership to implement change.

Candidate Profile:

The ideal candidate will demonstrate skill in thought leadership on data science best practices, data team leadership, and creative problem solving. They will possess significant technical knowledge and experience with methods and tools for analytical work in business intelligence and be highly capable in supporting leadership with identifying impactful opportunities. S/he will also be skilled in big data analytics, data model development, and in communicating technical subject-matter to a variety of audiences.

In addition to strong technical skills, the ideal candidate will be innovative, self-motivated, and inclined to create genuine business value through the alignment of technology, architecture, data, and business interests. Strong communication skills and team leadership will be vital to success, as many high value opportunities require partnership with multiple business and functional groups across the firm. The candidate must have the drive and desire to be aggressive and achieve results in a fast paced and dynamic environment.

Responsibilities:

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

Partner and work closely with product owners and other leads to ensure feasibility and progress of the products delivered across the organization;

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 the organization;

Lead, train, and coach more junior practitioners on the team;

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

Follows industry trends and tests new tools and techniques to solve new/existing business challenges;

Synthesize analytical findings for consumption by the teams and senior executives, and;

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

Qualifications and Required Skills:

5+ years of experience as a proven team leader;

5+ years of hands on industry experience in leveraging data science and analytics to solve business problems;

MS or PhD in a quantitative discipline (e.g. Computer Science, Mathematics, Statistics, Operations Research, Data Science, Economics, Engineering, or Physics);

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;

Intellectual curious and self-driven in understanding business domains and their data;

Expert knowledge in quantitative methods for business and advance data science methods;

Familiarity with Agile, experience with Agile is a plus;

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

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

Proficiency in visualization tools including Tableau, Cognos, Power BI, and similar tools required;

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

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

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

JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran. Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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

Tagged as: agile, AI, Analytics, C++, Data, Data mining, Excel, Go, Hadoop, Hive, Python, R, Spark, SQL, Tableau

Source:

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