
Global financial services firm
Quant Analytics Associate
We are guided by curiosity, passion, and optimism, and we are dedicated to enabling growth opportunities for everyone.
As a Quant Analytics Associate within the Data & Analytics team, you leverage advanced analytics to inform product development, optimize features, and guide strategic decisions. You help drive strategic growth initiatives and contribute to a collaborative, innovative team culture.
Job responsibilities
- Define and continuously monitor KPIs for the Communications product vertical; analyze user behavior and product performance to uncover growth opportunities.
- Conduct deep-dive analyses to generate insights and actionable recommendations; use data-driven storytelling to demonstrate value and influence the product roadmap initiatives
- Partner with QUAD to lead discovery for the Communications product—formulate problem statements, size opportunities, and define success metrics.
- Build and maintain dashboards and reporting that clearly communicate product performance; present findings and recommendations to senior leadership.
- Ensure data integrity and consistency across analytics platforms; partner with data engineering to enhance data collection, pipelines, and infrastructure.
- Collaborate with cross-functional teams (product, design, engineering) to inform product development and go-to-market strategies; serve as the analytics subject-matter expert.
Required qualifications, capabilities, and skills
- Bachelor’s degree in statistics, economics, mathematics, or engineering with significant quantitative research and data analysis for financial products
- 5+ years of applied experience with SQL, Python, Alteryx, and Tableau
- Strong critical and analytical thinking with attention to detail
- Capable of defining metrics, evaluating results, and drawing business insights
- Excellent written and verbal communication skills
- Familiarity with modern analytics platforms and data visualization tools
- Able to multi-task and prioritize, with strong organizational and problem-solving skills
- Demonstrated knowledge of analytics platforms and technical processes within a technical discipline
- Experience with LLM/AI-driven solutions, along with strong skills in designing and developing data products
Preferred qualifications, capabilities, and skills
- Master’s degree in a quantitative discipline
- Prior exposure to marketing, competitive intelligence, or strategic analytics
- Ability to tell stories through data and generate insights to drive stakeholder deliverables
- Highly organized, intellectually curious, and able to prioritize multiple tasks
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
3.5
薪酬
4.0
企业文化
3.8
职业发展
3.2
管理层
2.8
68%
推荐率
优点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
薪资范围
44个数据点
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2份报告
$188,500
年薪总额
基本工资
$145,000
股票
-
奖金
-
$182,000
$195,000
面试评价
4条评价
难度
3.0
/ 5
时长
14-28周
录用率
50%
体验
正面 25%
中性 75%
负面 0%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
最新动态
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