
Global financial services firm
Research Analyst – Quantitative and Derivatives
必备技能
Python
SQL
Excel
J.P. Morgan’s Global Research Center (GRC) in Mumbai was set up in August 2003 as an extension of the Firm’s global equity research teams around the world. Besides working with JP Morgan’s equity research teams, the Researchers and Analysts in GRC are now engaged with other areas of public side research including credit research, economics, strategy, credit derivatives, indices, credit portfolio research and international convertible bonds.
As an Analyst within the QDS you will be responsible of delivering trade ideas, in-depth reports, analytic tools, and educational materials to the firm’s clients. While broadly distributed reports and screens make up the most visible part of the group’s effort, analysts spend a significant amount of their time in custom analyses and backtests, portfolio hedging techniques, developing alpha-generating strategies and bespoke client requests.
Job responsibilities
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Running the broadly distributed reports and screens for the client.
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Maintaining regular contact with colleagues in the different regions, taking part in conference calls and responding to project requests (often client-generated).
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Maintaining the quantitative and derivatives database for the team.
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Analyzing and backtesting investment ideas. Backtesting may involve writing the code in VBA/C++/R/Python or any other language.
Analyze index events and forecast inclusions/deletions.
Required qualifications, capabilities, and skills.
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Keen interest in derivatives and financial markets.
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Strong quantitative skills and knowledge of Statistical concepts.
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Analytical aptitude and ability to learn financial concepts.
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Knowledge of different asset classes (Equities, FX, Credit, Commodities, Rates etc) is a must.
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Good knowledge of Excel, VBA, SQL, Python needed.
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Good communication and team working skills in a multi-location set up.
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Close attention to detail and ability to work to very high standards.
A strong motivation for learning and manage projects independently.
Preferred qualifications, capabilities, and skills.
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Ideal candidates for this position would be Engineers from prominent institutes including IITs; or candidates with specialization in Finance related courses from renowned universities.
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Any experience in the areas involving statistical modeling, option pricing etc. would be an advantage.
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Knowledge of R or MATLAB would be a plus.
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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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