招聘
Lead Financial Resource Management - Liquidity Methodology & Analytics - Executive Director

Lead Financial Resource Management - Liquidity Methodology & Analytics - Executive Director
NY, United States, US
·
On-site
·
Full-time
·
3w ago
The Corporate and Investment Bank Treasury is seeking a motivated professional to join the Liquidity Methodology and Analytics team where you will own the liquidity agenda for EMEA Markets Treasury Liquidity Modelling—optimize funding, liquidity, and profitability while shaping the next generation of liquidity analytics and methodology. You’ll sit at the nexus of Markets, Risk, Technology, and Treasury, turning regulation and market dynamics into actionable insights, scalable tools, and real P&L impact.
As the Liquidity Methodology and Analytics Executive Director, you will partner with the business, risk, and technology teams to provide subject matter expertise on liquidity risk, market dynamics, and regulatory developments to help ensure liquidity frameworks are aligned with regulatory requirements and internal policies. This role will require managing relationships with Liquidity Risk Technology, Regional Treasury teams, Corporate Treasury, Liquidity Risk Management, Quantitative Research and Product groups to prepare and present analysis, findings, and recommendations to senior management and governance committees.
Importantly, this role will provide you with the opportunity to help steer liquidity, funding, and profitability for a global markets franchise and build and scale our liquidity data and analytics capabilities. This role is high visibility, high ownership and provides room to grow.
Job responsibilities
- Lead liquidity innovation for Markets: enhance internal liquidity stress testingand build advanced analytics to evaluate and manage liquidity across businesses
- Translate regulation to action: interpret evolving rules and embed them into robust frameworks aligned with internal policies
- Be our external voice: engage with regulators and industry groups; present and substantiate stress methodologies and frameworks
- Partner for outcomes: work across Liquidity Risk Tech, Regional Treasury, Corporate Treasury, LRM, QR, and product teams to deliver measurable improvements
- Inform senior decisions: prepare clear analysis, findings, and recommendations for senior management and governance
- Deliver at pace: run strategic initiatives and time‑critical ad‑hoc projects that move the needle
Required qualifications, capabilities and skills
- Extensive experience in Treasury, Risk, Markets, or adjacent roles with a focus on liquidity risk/analytics
- Deep understanding of markets, products, and liquidity risk; hands-on with stress testing and frameworks (LCR, NSFR, 5G, etc.)
- Data‑driven problem solver: Python/SQL/Excel/Tableau; comfort with automation and prototypes
- Crisp communicator and trusted partner; strong stakeholder management across senior levels
- Bias for action—able to prioritize, ship solutions, and thrive in a fast, dynamic environment
- Degree in Finance, Economics, Math, Engineering, or related; advanced degree preferred
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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
3.8
10条评价
工作生活平衡
3.2
薪酬
4.1
企业文化
3.8
职业发展
3.0
管理层
2.5
65%
推荐给朋友
优点
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
薪资范围
41个数据点
Analyst
Junior/L3
Mid/L4
Senior/L5
Analyst · Analyst, Investment Banking
6份报告
$126,500
年薪总额
基本工资
$110,000
股票
-
奖金
-
$103,500
$201,250
面试经验
5次面试
难度
3.0
/ 5
时长
14-28周
录用率
40%
体验
正面 20%
中性 80%
负面 0%
面试流程
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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