
Global financial services firm
E-Markets [Multiple Positions Available]
報酬
$221,450 - $285,000
福利厚生
•健康保険
•401k
•メンタルヘルスサポート
•Learning Budget
必須スキル
Java
Linear regression
Time series analysis
Hypothesis testing
FX trading
US Treasury trading
Backtesting
DESCRIPTION:
Duties: Design and implement FX/US Treasury algorithmic orders to execute on behalf of clients. Formulate, analyze and back-test strategies, models, and signals. Collaborate with technology to develop cutting-edge low-latency infrastructure that meets business needs in a scalable manner. Perform statistical analysis of algorithmic order execution to drive iterative improvements. Develop real-time and post-trade transaction cost analysis models and reports to help clients optimize their algorithmic execution. Engagement in client discussions to help sales discuss the more technical parts of the algorithmic execution offering. Telecommuting not permitted. This position requires up to 15% domestic and international travel.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Engineering (Any), Computer Science, Mathematics, Physics, or related field of study plus 5 years (60 months) of experience in the job offered or as E-Markets VP, Algo Trader, Associate, Analyst, or related occupation. The employer will alternatively accept a PhD in Engineering (Any), Computer Science, Mathematics, Physics, or related field of study plus 3 years (36 months) of experience in the job offered or as E-Markets VP, Algo Trader, Associate, Analyst, or related occupation.
Skills Required: This position requires three (3) years of experience with the following: designing and implementing electronic algorithmic orders on FX and US Treasuries to execute on behalf of clients; backtesting with electronic trading market data in FX and US Treasuries; working with external electronic vendors from ECNs such as CBOE, Fenics, Euronext, or Currenex to enhance algo liquidity access; working with Sales, Product and Technology stakeholders to design, distribute and sell ecommerce algorithmic execution products; building automated tools to analyze and monitor electronic business; building tools to provide transaction cost analysis in the context of algorithmic execution; building algorithms in Java using graph-based design patterns to trade in low latency environments; performing data analysis using linear regression, time series analysis, hypothesis testing, or model evaluation metrics to improve algorithmic execution performance.
Job Location: 270 Park Ave, New York, NY, 10017. This position requires up to 15% domestic and international travel.
Full-Time. Salary: $221,450 - $285,000 per year.
ABOUT US
JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM:
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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JPMorgan Chaseについて

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+
従業員数
New York City
本社所在地
$500B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.5
報酬
4.0
企業文化
3.8
キャリア
3.2
経営陣
2.8
68%
知人への推奨率
良い点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
改善点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
給与レンジ
44件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1件のレポート
$139,000
年収総額
基本給
$107,000
ストック
-
ボーナス
-
$139,000
$139,000
面接レビュー
レビュー4件
難易度
3.0
/ 5
期間
14-28週間
内定率
50%
体験
ポジティブ 25%
普通 75%
ネガティブ 0%
面接プロセス
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
よくある質問
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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