Quant Analytics [Multiple Positions Available]

JPMorgan Chase & Co.•Jersey City, NJ

About The Position

Duties: Address a wide range of enterprise challenges by implementing machine learning techniques for data mining, data science, and behavioral analytics for quantitative research. Develop, plan, and execute analytical solutions by organizing diverse requirements, managing stakeholder expectations, and delivering results. Drive data science and analytics strategies, providing recommendations on analytical products, services, protocols, and standards across the firm. Innovate and create new methods by leveraging existing data assets or developing new ones, scale experimentation, integrate real-time data, and achieve personalization goals. Accelerate the analytics development lifecycle and enhance the dissemination of insights. Optimize queries, employing CTEs, window functions, and sub-queries. Present practical data insights in a compelling and actionable manner for senior leadership through presentations, discussions, and visualizations and interactive dashboards. Conduct data exploration and manipulation, data analysis, and data visualization. Lead and mentor a team of data analysts. Manage resources and oversee multiple projects to ensure timely delivery and alignment with stakeholders' priorities and project goals. This position requires up to 10% domestic travel to other JPMC offices for internal meetings or offsites. QUALIFICATIONS: Minimum education and experience required: Master's degree in Analytics, Data Science, Statistics, Economics, Applied Math, Operations Research, or related field of study plus 2 years of experience in the job offered or as Quant Analytics, Quant Analytics Associate, Marketing Science Associate Manager, Data Analyst, Data Science Engineer, Associate System Engineer, or related occupation. The employer will alternatively accept a Bachelor's degree in Analytics, Data Science, Statistics, Economics, Applied Math, Operations Research, or related field of study plus 4 years of experience in the job offered or as Quant Analytics, Quant Analytics Associate, Marketing Science Associate Manager, Data Analyst, Data Science Engineer, Associate System Engineer, or related occupation.

Requirements

Developing and executing optimized SQL queries within Snowflake
Conducting in-depth exploratory data analysis using SQL and Python
Establishing comprehensive measurement plans for A/B testing and performing advanced statistical analysis
Applying advanced statistical techniques including cohort analysis
Designing and building interactive dashboards and reports using Tableau
Implementing advanced statistical analysis in Excel using functions including AVERAGE, MEDIAN, and STDEV
Summarizing data using PivotTables
Performing sophisticated calculations and data manipulations using complex functions including VLOOKUP, INDEX-MATCH, IF statements, and array formulas
Conducting data exploration in Python using libraries including pandas, NumPy, and sklearn
Data analysis using SciPy
Data visualization using Matplotlib, Plotly, or seaborn
Developing executive-level presentation and visualizations using PowerPoint and interactive dashboards in Tableau or Adobe Analytics
Data mining, quantitative research, and data science techniques including machine learning and behavioral analytics
Defining the analytical agenda for projects and creating structured analytical plans

Responsibilities

Implementing machine learning techniques for data mining, data science, and behavioral analytics for quantitative research
Developing, planning, and executing analytical solutions
Driving data science and analytics strategies
Innovating and creating new methods by leveraging existing data assets or developing new ones
Optimizing queries
Presenting practical data insights in a compelling and actionable manner for senior leadership
Conducting data exploration and manipulation, data analysis, and data visualization
Leading and mentoring a team of data analysts
Managing resources and overseeing multiple projects