Quantitative Trading & Research Associate / Vice President

JPMorgan Chase & Co.·Posted 1 week ago

Location

All India

Experience

4–8 years

Required Skills

Financial engineeringData analyticsStatistical modelingPortfolio managementC programmingKnowledge sharingCollaborationCommunication skillsQuantitative modelingAlgorithmic execution strategiesMarket microstructure researchMachine learning modelsPrepost trade analyticsPortfolio optimization modelsPython programming

About the Role

Role Overview:
Quantitative Trading & Research (QTR) is an expert quantitative modeling group at J.P. Morgan, specializing in financial engineering, data analytics, statistical modeling, and portfolio management. As a global team, QTR collaborates with traders, marketers, and risk managers worldwide to contribute to various aspects of the financial industry. As an Associate / Vice President within the QTR eTrading team, you will play a significant role in improving the firm's equities electronic execution business by conducting research and partnering with different departments. QTR provides extensive training opportunities, including on-the-job training, internal classroom sessions, and online courses to enhance your skills.

Key Responsibilities:

• Developing mathematical models for algorithmic execution strategies for single stocks and portfolios

• Designing advanced models for limit order placement and order routing across different venues

• Creating quantitative tools to analyze order flow and proposing methods to enhance execution performance

• Conducting market microstructure research and producing white papers

Qualification Required:

• Prior experience in handling high frequency data/big data and developing statistical and/or machine learning models

• Experience in pre/post trade analytics, including market microstructure research for execution algorithms

• Familiarity with short-term price predictive, alpha, and portfolio optimization models

• Demonstrated quantitative, problem-solving, and research skills

• Eagerness to explore new research in algorithmic trading and apply it to business problems

• Proficiency in computer programming, particularly in Python and/or C++, in academic or commercial projects

• Enthusiasm for knowledge sharing and collaboration

• Excellent verbal and written communication skills to engage and influence partners and stakeholders

Kindly note that the additional details of the company were not present in the provided job description. Role Overview:
Quantitative Trading & Research (QTR) is an expert quantitative modeling group at J.P. Morgan, specializing in financial engineering, data analytics, statistical modeling, and portfolio management. As a global team, QTR collaborates with traders, marketers, and risk managers worldwide to contribute to various aspects of the financial industry. As an Associate / Vice President within the QTR eTrading team, you will play a significant role in improving the firm's equities electronic execution business by conducting research and partnering with different departments. QTR provides extensive training opportunities, including on-the-job training, internal classroom sessions, and online courses to enhance your skills.

Key Responsibilities:

• Developing mathematical models for algorithmic execution strategies for single stocks and portfolios

• Designing advanced models for limit order placement and order routing across different venues

• Creating quantitative tools to analyze order flow and proposing methods to enhance execution performance

• Conducting market microstructure research and producing white papers

Qualification Required:

• Prior experience in handling high frequency data/big data and developing statistical and/or machine learning models

• Experience in pre/post trade analytics, including market microstructure research for execution algorithms

• Familiarity with short-term price predictive, alpha, and portfolio optimization models

• Demonstrated quantitative, problem-solving, and research skills

• Eagerness to explore new research in algorithmic trading and apply it to business problems

• Proficiency in computer programming, particularly in Python and/or C++, in academic or commercial projects

• Enthusiasm for knowledge sharing and collaboration

• Excellent verbal and written communication skills to engage and influence partners and stakeholders

Kindly note that the additional details of the company were not present in the provided job description.

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