JPMorgan Quant Analytics Manager - Vice President 

United States, New Jersey, Jersey City 

934903499

As a Vice President - Quant Analytics Manager within the JPMC Private Client team, you will manage and support analytical data exploration and reporting outcomes. You will partner with Private Client Operations and Controls teams to solve business problems using data-driven approaches. Your role will involve ad-hoc deep dives, portfolio assessments, and performance analysis with a focus on controls execution and monitoring. You will work directly with our internal clients to develop, implement, and track strategic initiatives from a data & analytics perspective. This role requires strong analytical and technical skills, resourcefulness, excellent problem-solving abilities, and effective communication skills.

Job responsibilities:

• Excel at communicating and interfacing with senior stakeholders, leveraging a blend of analytical skills and business acumen to drive impactful results that inform strategic decisions.
• Improve and/or assess processes and controls in support of business results
• Lead execution of KPIs, trend analysis, and dashboards to improve and monitor business function performance
• Manage ownership and development for all in scope controls monitoring efforts from inception to completion, encompassing tasks such as gathering detailed requirements, data preparation, result generation, and data visualization.
• Commit to iterative development, with a proven ability to engage and update stakeholders bi-weekly or as necessary ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle.
• Uphold the highest standards of data integrity and security, aligning with both internal and external regulatory requirements and compliance protocols
• Advocate for domain specific data needed to monitor performance, targeting and execution, and other analytical support for business goals

Required qualifications, capabilities and skills:

• Masters in a related field, or Bachelors with 5+ years of experience in a related discipline (Computer Science, Operational Research, Physics, Mathematics, Neuroscience, Engineering, Econometrics, Statistics, Other Sciences etc.) or equivalent
• Strong proficiency in statistical packages and data tools, including SQL, and Tableau
• Strong proficiency in Data Mining & Visualization
• Strong proficiency in Advanced Statistical methods and concepts, predictive modeling, time series forecasting, text mining
• Experience in Cloud and Big Data platforms such as Snowflake
• Strong story telling capabilities including communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization
• Strong commitment to iterative development, with a proven ability to engage and update stakeholders bi-weekly or as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle.

Preferred qualifications, capabilities and skills

• Proficiency in Python and Alteryx are preferred
• AWS, Hadoop, Hive, Pig, Apache Spark, are a plus