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Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate

JP Morgan Chase

Finance Jobs

Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate

full-timePosted: Sep 4, 2025

Job Description

Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate

Location: LONDON, LONDON, United Kingdom

Job Family: Associates

About the Role

Join JPMorgan Chase & Co., a leading global financial services firm with a rich history of innovation in investment banking, asset management, and market-making. As an Associate in Quantitative Research - Data Analytics for Rates and Emerging Markets, based in our state-of-the-art London office, you will play a pivotal role in leveraging cutting-edge data analytics to drive insights into global rates and emerging markets. This position offers the chance to work on high-impact projects that influence trading strategies, risk management, and client advisory services across one of the world's largest financial institutions. With access to vast proprietary datasets and advanced computational resources, you will contribute to the firm's competitive edge in navigating complex market dynamics, including interest rate fluctuations, currency risks, and emerging economy volatilities. In this role, you will collaborate with cross-functional teams of quants, traders, and economists to develop sophisticated models that enhance pricing accuracy and predictive forecasting. Responsibilities include analyzing terabytes of market data to uncover hidden patterns, implementing machine learning algorithms for scenario simulations, and providing actionable recommendations that support billions in daily trading volume. At JPMorgan Chase, we emphasize a culture of excellence and continuous learning, offering mentorship from senior leaders and opportunities to engage with global markets directly. Your work will directly impact our clients, from sovereign wealth funds to multinational corporations, ensuring robust strategies in an ever-evolving financial landscape. We seek passionate individuals who thrive in a collaborative, high-performance environment and are committed to ethical standards upheld by JPMorgan's global compliance framework. This associate-level position is ideal for those with a strong quantitative background looking to advance their career in a firm renowned for its technological prowess and market leadership. By joining us, you will not only gain exposure to premier financial markets but also contribute to initiatives that shape the future of quantitative finance at JPMorgan Chase.

Key Responsibilities

  • Develop and implement advanced data analytics models for pricing and risk management in rates and emerging markets
  • Analyze large datasets from market sources to identify trends and opportunities in fixed income and emerging market instruments
  • Collaborate with trading, sales, and structuring teams to provide quantitative insights supporting business decisions
  • Build and maintain statistical models for forecasting interest rates, currency movements, and credit spreads
  • Conduct back-testing and validation of quantitative strategies to ensure robustness and compliance
  • Leverage machine learning techniques to enhance predictive analytics for emerging market volatilities
  • Contribute to the development of proprietary tools and platforms for data visualization and reporting
  • Monitor global market events and integrate macroeconomic data into quantitative frameworks
  • Support senior researchers in presenting findings to stakeholders and regulatory bodies
  • Stay abreast of industry innovations in quantitative finance and apply them to JP Morgan's operations

Required Qualifications

  • Bachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related quantitative field
  • At least 3-5 years of experience in quantitative research, data analytics, or financial modeling within investment banking or asset management
  • Strong proficiency in programming languages such as Python, R, or MATLAB for data analysis and modeling
  • Deep understanding of rates markets, emerging markets dynamics, and fixed income instruments
  • Experience with large-scale data handling and statistical analysis in a financial context
  • Ability to work in a fast-paced, collaborative environment in London
  • Relevant certifications such as CFA or FRM are advantageous

Preferred Qualifications

  • PhD in a quantitative discipline with a focus on financial econometrics
  • Prior experience at a bulge-bracket bank like JP Morgan Chase in rates or emerging markets teams
  • Familiarity with machine learning applications in financial data analytics
  • Publication record in quantitative finance journals or conferences
  • Knowledge of regulatory frameworks impacting rates and emerging markets trading

Required Skills

  • Proficiency in Python and R for data manipulation and statistical modeling
  • Expertise in SQL for querying large financial databases
  • Strong knowledge of econometric techniques and time-series analysis
  • Experience with machine learning libraries like scikit-learn or TensorFlow
  • Understanding of derivatives pricing models (e.g., Black-Scholes, Hull-White)
  • Analytical problem-solving and critical thinking abilities
  • Excellent communication skills for presenting complex data to non-technical audiences
  • Attention to detail in model validation and error detection
  • Team collaboration and project management in high-stakes environments
  • Adaptability to rapidly changing market conditions
  • Familiarity with Bloomberg or Reuters terminals for market data
  • Risk assessment and scenario analysis skills
  • Proficiency in Excel and VBA for financial reporting
  • Ethical judgment in handling sensitive financial information
  • Innovation in applying quantitative methods to real-world trading challenges

Benefits

  • Competitive base salary and performance-based bonus structure
  • Comprehensive health, dental, and vision insurance coverage
  • Generous retirement savings plan with company matching contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development programs and tuition reimbursement for advanced certifications
  • Employee stock purchase plan and access to financial wellness resources
  • On-site fitness facilities and wellness programs at JP Morgan's London offices
  • Global mobility opportunities within JP Morgan Chase's international network

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

120,000 - 200,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python and R for data manipulation and statistical modelingintermediate
  • Expertise in SQL for querying large financial databasesintermediate
  • Strong knowledge of econometric techniques and time-series analysisintermediate
  • Experience with machine learning libraries like scikit-learn or TensorFlowintermediate
  • Understanding of derivatives pricing models (e.g., Black-Scholes, Hull-White)intermediate
  • Analytical problem-solving and critical thinking abilitiesintermediate
  • Excellent communication skills for presenting complex data to non-technical audiencesintermediate
  • Attention to detail in model validation and error detectionintermediate
  • Team collaboration and project management in high-stakes environmentsintermediate
  • Adaptability to rapidly changing market conditionsintermediate
  • Familiarity with Bloomberg or Reuters terminals for market dataintermediate
  • Risk assessment and scenario analysis skillsintermediate
  • Proficiency in Excel and VBA for financial reportingintermediate
  • Ethical judgment in handling sensitive financial informationintermediate
  • Innovation in applying quantitative methods to real-world trading challengesintermediate

Required Qualifications

  • Bachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related quantitative field (experience)
  • At least 3-5 years of experience in quantitative research, data analytics, or financial modeling within investment banking or asset management (experience)
  • Strong proficiency in programming languages such as Python, R, or MATLAB for data analysis and modeling (experience)
  • Deep understanding of rates markets, emerging markets dynamics, and fixed income instruments (experience)
  • Experience with large-scale data handling and statistical analysis in a financial context (experience)
  • Ability to work in a fast-paced, collaborative environment in London (experience)
  • Relevant certifications such as CFA or FRM are advantageous (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with a focus on financial econometrics (experience)
  • Prior experience at a bulge-bracket bank like JP Morgan Chase in rates or emerging markets teams (experience)
  • Familiarity with machine learning applications in financial data analytics (experience)
  • Publication record in quantitative finance journals or conferences (experience)
  • Knowledge of regulatory frameworks impacting rates and emerging markets trading (experience)

Responsibilities

  • Develop and implement advanced data analytics models for pricing and risk management in rates and emerging markets
  • Analyze large datasets from market sources to identify trends and opportunities in fixed income and emerging market instruments
  • Collaborate with trading, sales, and structuring teams to provide quantitative insights supporting business decisions
  • Build and maintain statistical models for forecasting interest rates, currency movements, and credit spreads
  • Conduct back-testing and validation of quantitative strategies to ensure robustness and compliance
  • Leverage machine learning techniques to enhance predictive analytics for emerging market volatilities
  • Contribute to the development of proprietary tools and platforms for data visualization and reporting
  • Monitor global market events and integrate macroeconomic data into quantitative frameworks
  • Support senior researchers in presenting findings to stakeholders and regulatory bodies
  • Stay abreast of industry innovations in quantitative finance and apply them to JP Morgan's operations

Benefits

  • general: Competitive base salary and performance-based bonus structure
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Generous retirement savings plan with company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development programs and tuition reimbursement for advanced certifications
  • general: Employee stock purchase plan and access to financial wellness resources
  • general: On-site fitness facilities and wellness programs at JP Morgan's London offices
  • general: Global mobility opportunities within JP Morgan Chase's international network

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JP Morgan Chase logo

Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate

JP Morgan Chase

Finance Jobs

Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate

full-timePosted: Sep 4, 2025

Job Description

Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate

Location: LONDON, LONDON, United Kingdom

Job Family: Associates

About the Role

Join JPMorgan Chase & Co., a leading global financial services firm with a rich history of innovation in investment banking, asset management, and market-making. As an Associate in Quantitative Research - Data Analytics for Rates and Emerging Markets, based in our state-of-the-art London office, you will play a pivotal role in leveraging cutting-edge data analytics to drive insights into global rates and emerging markets. This position offers the chance to work on high-impact projects that influence trading strategies, risk management, and client advisory services across one of the world's largest financial institutions. With access to vast proprietary datasets and advanced computational resources, you will contribute to the firm's competitive edge in navigating complex market dynamics, including interest rate fluctuations, currency risks, and emerging economy volatilities. In this role, you will collaborate with cross-functional teams of quants, traders, and economists to develop sophisticated models that enhance pricing accuracy and predictive forecasting. Responsibilities include analyzing terabytes of market data to uncover hidden patterns, implementing machine learning algorithms for scenario simulations, and providing actionable recommendations that support billions in daily trading volume. At JPMorgan Chase, we emphasize a culture of excellence and continuous learning, offering mentorship from senior leaders and opportunities to engage with global markets directly. Your work will directly impact our clients, from sovereign wealth funds to multinational corporations, ensuring robust strategies in an ever-evolving financial landscape. We seek passionate individuals who thrive in a collaborative, high-performance environment and are committed to ethical standards upheld by JPMorgan's global compliance framework. This associate-level position is ideal for those with a strong quantitative background looking to advance their career in a firm renowned for its technological prowess and market leadership. By joining us, you will not only gain exposure to premier financial markets but also contribute to initiatives that shape the future of quantitative finance at JPMorgan Chase.

Key Responsibilities

  • Develop and implement advanced data analytics models for pricing and risk management in rates and emerging markets
  • Analyze large datasets from market sources to identify trends and opportunities in fixed income and emerging market instruments
  • Collaborate with trading, sales, and structuring teams to provide quantitative insights supporting business decisions
  • Build and maintain statistical models for forecasting interest rates, currency movements, and credit spreads
  • Conduct back-testing and validation of quantitative strategies to ensure robustness and compliance
  • Leverage machine learning techniques to enhance predictive analytics for emerging market volatilities
  • Contribute to the development of proprietary tools and platforms for data visualization and reporting
  • Monitor global market events and integrate macroeconomic data into quantitative frameworks
  • Support senior researchers in presenting findings to stakeholders and regulatory bodies
  • Stay abreast of industry innovations in quantitative finance and apply them to JP Morgan's operations

Required Qualifications

  • Bachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related quantitative field
  • At least 3-5 years of experience in quantitative research, data analytics, or financial modeling within investment banking or asset management
  • Strong proficiency in programming languages such as Python, R, or MATLAB for data analysis and modeling
  • Deep understanding of rates markets, emerging markets dynamics, and fixed income instruments
  • Experience with large-scale data handling and statistical analysis in a financial context
  • Ability to work in a fast-paced, collaborative environment in London
  • Relevant certifications such as CFA or FRM are advantageous

Preferred Qualifications

  • PhD in a quantitative discipline with a focus on financial econometrics
  • Prior experience at a bulge-bracket bank like JP Morgan Chase in rates or emerging markets teams
  • Familiarity with machine learning applications in financial data analytics
  • Publication record in quantitative finance journals or conferences
  • Knowledge of regulatory frameworks impacting rates and emerging markets trading

Required Skills

  • Proficiency in Python and R for data manipulation and statistical modeling
  • Expertise in SQL for querying large financial databases
  • Strong knowledge of econometric techniques and time-series analysis
  • Experience with machine learning libraries like scikit-learn or TensorFlow
  • Understanding of derivatives pricing models (e.g., Black-Scholes, Hull-White)
  • Analytical problem-solving and critical thinking abilities
  • Excellent communication skills for presenting complex data to non-technical audiences
  • Attention to detail in model validation and error detection
  • Team collaboration and project management in high-stakes environments
  • Adaptability to rapidly changing market conditions
  • Familiarity with Bloomberg or Reuters terminals for market data
  • Risk assessment and scenario analysis skills
  • Proficiency in Excel and VBA for financial reporting
  • Ethical judgment in handling sensitive financial information
  • Innovation in applying quantitative methods to real-world trading challenges

Benefits

  • Competitive base salary and performance-based bonus structure
  • Comprehensive health, dental, and vision insurance coverage
  • Generous retirement savings plan with company matching contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development programs and tuition reimbursement for advanced certifications
  • Employee stock purchase plan and access to financial wellness resources
  • On-site fitness facilities and wellness programs at JP Morgan's London offices
  • Global mobility opportunities within JP Morgan Chase's international network

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

120,000 - 200,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python and R for data manipulation and statistical modelingintermediate
  • Expertise in SQL for querying large financial databasesintermediate
  • Strong knowledge of econometric techniques and time-series analysisintermediate
  • Experience with machine learning libraries like scikit-learn or TensorFlowintermediate
  • Understanding of derivatives pricing models (e.g., Black-Scholes, Hull-White)intermediate
  • Analytical problem-solving and critical thinking abilitiesintermediate
  • Excellent communication skills for presenting complex data to non-technical audiencesintermediate
  • Attention to detail in model validation and error detectionintermediate
  • Team collaboration and project management in high-stakes environmentsintermediate
  • Adaptability to rapidly changing market conditionsintermediate
  • Familiarity with Bloomberg or Reuters terminals for market dataintermediate
  • Risk assessment and scenario analysis skillsintermediate
  • Proficiency in Excel and VBA for financial reportingintermediate
  • Ethical judgment in handling sensitive financial informationintermediate
  • Innovation in applying quantitative methods to real-world trading challengesintermediate

Required Qualifications

  • Bachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related quantitative field (experience)
  • At least 3-5 years of experience in quantitative research, data analytics, or financial modeling within investment banking or asset management (experience)
  • Strong proficiency in programming languages such as Python, R, or MATLAB for data analysis and modeling (experience)
  • Deep understanding of rates markets, emerging markets dynamics, and fixed income instruments (experience)
  • Experience with large-scale data handling and statistical analysis in a financial context (experience)
  • Ability to work in a fast-paced, collaborative environment in London (experience)
  • Relevant certifications such as CFA or FRM are advantageous (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with a focus on financial econometrics (experience)
  • Prior experience at a bulge-bracket bank like JP Morgan Chase in rates or emerging markets teams (experience)
  • Familiarity with machine learning applications in financial data analytics (experience)
  • Publication record in quantitative finance journals or conferences (experience)
  • Knowledge of regulatory frameworks impacting rates and emerging markets trading (experience)

Responsibilities

  • Develop and implement advanced data analytics models for pricing and risk management in rates and emerging markets
  • Analyze large datasets from market sources to identify trends and opportunities in fixed income and emerging market instruments
  • Collaborate with trading, sales, and structuring teams to provide quantitative insights supporting business decisions
  • Build and maintain statistical models for forecasting interest rates, currency movements, and credit spreads
  • Conduct back-testing and validation of quantitative strategies to ensure robustness and compliance
  • Leverage machine learning techniques to enhance predictive analytics for emerging market volatilities
  • Contribute to the development of proprietary tools and platforms for data visualization and reporting
  • Monitor global market events and integrate macroeconomic data into quantitative frameworks
  • Support senior researchers in presenting findings to stakeholders and regulatory bodies
  • Stay abreast of industry innovations in quantitative finance and apply them to JP Morgan's operations

Benefits

  • general: Competitive base salary and performance-based bonus structure
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Generous retirement savings plan with company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development programs and tuition reimbursement for advanced certifications
  • general: Employee stock purchase plan and access to financial wellness resources
  • general: On-site fitness facilities and wellness programs at JP Morgan's London offices
  • general: Global mobility opportunities within JP Morgan Chase's international network

Target Your Resume for "Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AssociatesFinancial ServicesBankingJP MorganAssociates

Answer 10 quick questions to check your fit for Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.