JPMorgan Quant Analytics Manager-Vice President 

United States, New Jersey, Jersey City 

380389894

As a Quant Analytics Manager on the Payments Analytics Team, you’ll leverage data to formulate quantifiable goals, influence business decisions, develop strategies and experimentation in collaboration with multiple stakeholders. You will play a key role in developing KPIs, create dashboards and develop analyses including segmentations, trends, optimizations and other techniques to improve business function performance.

Job Responsibilities:

• Synthesize data from a number of different sources to identify meaningful trends and patterns that will help mortgage operations improve the overall customer experience
• Work closely with business partners to help identify opportunities to improve operations and employee efficiency
• Use advanced data discovery and data mining tools to reveal relationships and trends in the data providing new insights into behaviors
• Convert data to actionable insights and leverage data visualization tools to effectively tell a story
• Extract data from various sources using SQL, Python, R, etc.
• Work directly with business partners across multiple channels to evaluate needs, develop end-to-end solutions, and implement those solutions within budget, control requirements, and SLAs

Required qualifications, capabilities, and skills:

• Bachelor's degree in a quantitative, analytical, or related field
• 5 years of experience in an advanced analytics role
• Strong SQL knowledge, including complex queries, stored procedures, etc
• Experience with relational databases and query optimization to pull and summarize large datasets with focus on efficiency and reducing server impacts
• Capable of defining metrics, evaluating results, drawing conclusions and insights to design and recommend system or process improvements
• Critical and analytical thinking with a data-oriented mindset
• Ability to develop advanced data visualization and presentations
• Excellent written and verbal communication skills.

Preferred qualifications, capabilities, and skills:

• Advanced analytics experience, with preferred knowledge in one or more of these tools: SSRS, Power BI, Alteryx
• Functional industry experience in product, marketing, credit/risk or finance