招聘

Intraday Liquidity Management, Senior Associate
New York, NY, United States, US
·
On-site
·
Full-time
·
2mo ago
必备技能
Python
SQL
The Intraday Liquidity (IDL) Management function sits within Corporate Treasury and predominantly leverages a proprietary, real-time application under the same name, Intraday Liquidity (IDL), to look after all of the firm’s global cash & payments activity. The team interacts with global regulators, clearing houses, Financial Market Infrastructures, Wholesale Payments Technology, Treasury Funding, Liquidity Strategy, Liquidity Management, Liquidity Risk Management, and the lines-of-business teams to maintain and enhance the firm’s Intraday capability.
As a member of the IDL team within North America Treasury Funding, you will be tasked with being the first line of defense for firm wide IDL risk, engaging with lines of business & operations in active IDL management, owning the IDL playbook, and collaborating with the product and technology teams to advance the IDL application. Our partner teams are globally distributed therefore the ability to effectively collaborate and communicate with remote stakeholders and contributors across time zones is essential.
Job Responsibilities:
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Manage USD IDL risk across the central bank balance and bilateral counterparty flows; contribute to the tools and framework used to manage this risk.
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Leverage payments data to derive analytical insights on intraday cash flow patterns and drivers; collaborate with businesses on optimization.
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Use Python and AI/ML tools to publish a daily forecast and commentary for intraday flows across key central bank balances, payment channels and business lines.
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Collaborate with the Product team on further enhancements to the IDL application.
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Manage the USD Intraday Liquidity playbook covering Firm wide response to limit breaches; coordinate its associated simulation exercise and other business resiliency efforts.
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Support the pricing and execution of intercompany trades for bank funding
Required Qualifications, Skills, and Capabilities:
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Bachelors’ degree required
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5+ years of full-time experience in Finance, Treasury. Funding, Payments, or Liquidity Risk Management.
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Strong knowledge of Python & SQL, combined with ability to construct meaningful narratives using data (experience with predictive modeling and/or time series forecasting is a plus),
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An organized self-starter and quick learner with the ability to work under pressure, prioritize multiple deliverables, and bring them to closure.
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Clear and concise written and verbal communication skills, with the ability to communicate effectively with partners across J.P. Morgan.
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Series 99 and SIE licenses preferred or must be obtained after joining team.
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Applicable Associated Person training and designation must be completed after joining the team.
To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).
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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
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1份报告
$139,000
年薪总额
基本工资
$107,000
股票
-
奖金
-
$139,000
$139,000
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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