
Global financial services firm
Quant Analytics Lead-Vice President
Join the Alternative Lending Analytics Team and play a pivotal role in shaping the future of the Connected Commerce lending business.
As Quant Analytics Lead within the Alternative Analytics team, you will partner with cross-functional teams to analyze data from large SQL and AWS databases, translating insights into actionable recommendations for stakeholders. You'll need strong analytical rigor and a deep sense of curiosity. You will play a key role in launching new lending products and driving their growth, collaborating with both analytic and non-analytic groups to shape strategy and influence business decisions. This position is ideal for an innovative leader who thrives in a dynamic environment and is passionate about using data to deliver measurable business outcomes. You will lead the delivery of analytics and insights to inform strategies and influence critical business decisions.
Job responsibilities
- Establish and foster partnerships across the organization to understand business requirements.
- Lead the creation and execution of solutions to pull and combine data from multiple sources for lending product reporting.
- Develop analytics frameworks for new lending products.
- Collaborate with data partners to ensure data quality and integrity for new lending products.
- Lead report automation initiatives.
- Analyze customer, transaction, and product usage data to identify actionable insights.
- Communicate insights to senior leaders to influence strategy and business decisions.
- Translate complex analyses into concise executive narratives and visuals to support strategic decision-making.
- Manage multiple priorities and deliver results quickly with rigor.
Required qualifications, capabilities, and skills
- BS in an applicable STEM field and 6+ years of financial industry experience in business analytics roles (e.g., marketing analytics, risk analytics, product analytics, business insights).
- 6+ years of hands-on experience working with a broad range of analytics technologies and tools (SAS, SQL, Spark, Python, Unix, Excel Pivot, etc.) in a big data environment.
- Financial services experience, especially in credit card or mortgage analytics.
- Exceptional communication skills, with the ability to convey complex information in an understandable, compelling, and persuasive manner to both technical and non-technical stakeholders.
- Ability to identify key drivers, prioritize tasks, be results-oriented, and demonstrate strong attention to detail.
- Proficient in applying quantitative methods for business analytics.
- Adept critical thinker and problem solver.
Preferred qualifications, capabilities, and skills
- Master's degree in a relevant quantitative field (e.g., Statistics, Economics, Marketing Analytics, Mathematics, Engineering, Computer Science, or related fields)
ABOUT US
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, 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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans:
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
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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
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