Quant Analytics Associate – Trust and Security

Job Description

As a Quant Analytics Associate, in the Data and Analytics team, you will be a key member of the connected commerce Analytics team. You will work closely with Product Owners to deliver insights in terms of descriptive, diagnostic, predictive, and prescriptive analytics. You will strive to build consensus with Product Owners on if, where, when, how, and whom to promote customer engagement by defining metrics, sourcing data, developing queries, and creating reports

Job responsibilities

• Develop and maintain comprehensive data strategy roadmap collaborating with Data Owners, Tech, Product owners aligned with Business goals and regulatory requirements
• Collaborate with stakeholders to understand business priorities and translate them to actionable data initiatives
• Collaborate with executive leadership to articulate vision, goals and roadmap for data driven decision-making across the organization
• Drive the adoption of best practices in data management and analytics within the organization within the organization through training, mentoring and knowledge sharing
• Continuously monitor and optimize data processes, analytical models, and infrastructure to drive continuous improvement and innovation
• Bring order to disparate requirements with high tolerance for ambiguity, very strong problem solving ability, and excellent client engagement skills
• Pivot quickly as client guidance evolves, always keeping the ultimate project objective in mind. Manage evolving project requirements while continuously learning quickly on-the-job
• Establish and embrace guidelines to ensure consistency and high quality of presentation materials in appearance, tone, and style
• Collaborate with unit managers, end users, developers, and other stakeholders to integrate data discoveries and processes into operational capabilities

Required qualifications, capabilities and skills

• Apply strategic, analytical skills to broad range of challenges faced by the enterprise
• Develop deep domain knowledge of various financial services and products including digital, credit cards, demand deposit accounts retail operations
• Deepen market knowledge of various industries including retail sales, payments, small businesses, consumer credit, investment vehicles, human behavior, operational efficiency and financial technologies
• Gain technical expertise in cutting edge big data technologies and methods (e.g. AWS, Hadoop, Spark, Hive, Impala, and Python)

Preferred qualifications, capabilities and skills

• 4+ years of industry experience in Data & Analytics
• Must have prior experience working in Digital and/or product analytics
• In depth understanding of common digital metrics and definitions
• Experience working on Digital behavioral data tools (E.g.: Adobe Analytics)
• Bachelor’s degree in relevant quantitative field required (e.g. Analytics, Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields); advanced degree preferred 
• In general, top-tier talent, as demonstrated by performance history and educational background/accomplishments
• 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
• Influencer with great interpersonal skills and proven ability to achieve alignment across a range of different views and interests
• Demonstrated ability to define business KPIs and establish measurement frameworks
• Structured thinker with passion for analyzing results and digging deeper
• Excellent communicator able to convey complex information in an understandable, compelling, and persuasive manner to senior executives
• Strong aptitude for technical concepts and ideas
• Basic knowledge in modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models) is preferred
• Experience across broad range of modern analytics tools (e.g., SQL, AWS, Hive, Hadoop, Spark, Python, R)
• Experience across broad range of modern analytics tools (e.g., AWS, SQL, Hive, Hadoop, Spark, Python, R)
• Superior written and oral communication and presentation skills with experience communicating effectively with diverse audiences – across business and technology partners, including senior leadership
• Consulting orientation with ability to influence and effectively lead cross-functional teams
• Financial services background preferred, but not required
• Self-starter with out-of-the box problem solving skills and a drive to bring new ideas to life
• Strong time-management skills, with the ability to multi-task and keep numerous projects on track

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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.