Jobs

Quant Analytics [Multiple Positions Available]
Jersey City, NJ, United States, US
·
On-site
·
Full-time
·
6d ago
DESCRIPTION:
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.
Skills Required: This position requires experience with the following: Developing and executing optimized SQL queries within Snowflake to extract and transform large datasets, enabling the identification of key insights and trends that address complex business and product-centric questions; Conducting in-depth exploratory data analysis using SQL and Python to uncover data patterns and translating these insights into actionable understanding of product performance, driving strategic decision-making; Establishing comprehensive measurement plans for A/B testing and performing advanced statistical analysis to assess the statistical significance of test results, ensuring robust evaluation of product strategies; Applying advanced statistical techniques including cohort analysis to address complex business problems, providing deep insights into customer behavior and enhancing strategic planning; Designing and building interactive dashboards and reports using Tableau to visualize data trends and facilitate data-driven insights for stakeholders; Implementing advanced statistical analysis in Excel using functions including AVERAGE, MEDIAN, and STDEV; Summarizing data using Pivot Tables; 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, Num Py, and sklearn; Data analysis using Sci Py; 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 including assessing data needs, sourcing files, preparing data, creating new features, evaluating quality, establishing a structured analytical methodology and delivering analytical solutions.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. In addition, please visit: https://careers.jpmorgan.com/us/en/about-us.
Job Location: 575 Washington Blvd, Jersey City, NJ 07310. This position requires up to 10% domestic travel to other JPMC offices for internal meetings or offsites.
Full-Time. Salary: $223,642 - $223,642 per year.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
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Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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