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Quant Analytics Vice President - Business Controls

JPMorgan Chase
Columbus, USA
Full-time
Executive · 7+ years experience
Onsite
Discovered 3 days ago
alteryxdatabrickspythonsassnowflakesql

Full Job Posting

Job responsibilities

  • Develop advanced analytics and reporting solutions (for example: predictive modeling, machine learning, forecasting, simulation, and visualization) to generate actionable insights
  • Design, build, implement, and maintain dashboards and reports that monitor business controls, adherence, and exceptions
  • Integrate and reconcile data from multiple sources to support outcome reporting and decision-making
  • Validate inputs, detect defects, and surface statistical anomalies that could impact business processes or control outcomes
  • Partner with stakeholders to define quantifiable goals, understand business drivers, and translate needs into analytics deliverables
  • Communicate complex analytical results clearly to varied audiences and multiple levels of management
  • Collaborate across functions to improve processes and controls and deliver measurable business results

Required qualifications, capabilities, and skills

  • Master’s degree or Doctorate in a related field with 5+ years of applied experience, or Bachelor’s degree in a related field with 7+ years of applied experience (for example: computer science, operations research, physics, mathematics, engineering, econometrics, or statistics)
  • Proficiency in data analysis languages such as Python, SAS, or R
  • Proficiency with relational databases and strong Structured Query Language (SQL) skills
  • Proficiency in standard data mining and analytical methods
  • Demonstrated ability to communicate analytical findings clearly and influence business stakeholders
  • Strong analytical, interpretive, and problem-solving skills with attention to data quality and reliability
  • Ability to manage multiple priorities, deliver in a fast-paced environment, and work effectively with cross-functional partners

Preferred qualifications, capabilities, and skills

  • Hands-on experience designing, building, and operating solutions on cloud data platforms (for example: Snowflake, Amazon Web Services, or Databricks) or equivalent
  • Experience with data visualization tools (for example: Tableau) or equivalent
  • Experience with straight-through processing tools (for example: Alteryx) or equivalent
  • Exposure to query optimization and performance tuning in analytic workflows

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