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Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

Quantitative Research - Markets Treasury - Associate

at J.P. Morgan

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

Associate role in Quantitative Research within Markets Treasury based in London, focused on designing and implementing advanced models and analytical tools to assess risk and explain P&L. The role involves building end-to-end data analytics applications, leveraging AI and automation, and delivering scalable solutions with CIB Technology. You will collaborate with Markets Treasury, global partners in APAC and New York, and senior stakeholders to improve treasury management and quantify financial impacts. Requires an advanced quantitative degree, strong Python programming, and familiarity with markets and trading concepts.

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Full Job Description

Location: LONDON, United Kingdom


Join our Quantitative Research team in London, where you will design and implement advanced models, develop analytical tools, and drive innovation in treasury management for the Commercial & Investment Bank.


Are you passionate about quantitative modelling and financial innovation? As an Associate in Quantitative Research, you will collaborate with global teams to deliver data-driven solutions and actionable insights. This is your opportunity to work at the forefront of AI, automation, and analytics, supporting strategic objectives in a dynamic market environment. If you thrive on solving complex challenges and driving change, we invite you to join our expert team.

Job Summary:
As an Associate within Quantitative Research, Market Treasury team in London, you will play a key role in designing and implementing advanced models to assess risk and develop tools to predict and explain P&L. You will work closely with the Markets Treasury team and CIB Technology, gaining exposure to large-scale data analytics, AI applications, and automation of reporting processes. You will collaborate with stakeholders across markets and technology to deliver innovative solutions, enhancing treasury management practices and supporting strategic objectives in a fast-paced environment.

Job Responsibilities:

  • Contribute to the strategic transformation of the investment bank into a data-driven business using AI and machine learning
  • Design frameworks and build applications for data analytics
  • Conduct data analysis and identify or explain key factors within large financial datasets
  • Develop end-to-end solutions and user tools that provide valuable analytics to stakeholders
  • Collaborate with business and senior leaders to improve financial resource consumption and quantify impact
  • Partner with technology teams to scale and develop new analytical frameworks and optimisation strategies
  • Work closely with partners in Asia-Pacific and New York to deliver global solutions

Required Qualifications, Capabilities, and Skills:

  • Advanced degree (Master’s or PhD) or equivalent in a quantitative field such as Mathematics, Computer Science, Physics, or Engineering
  • Strong programming background with high proficiency in Python
  • Demonstrated quantitative and problem-solving skills
  • Markets experience and familiarity with general trading concepts and terminology
  • Excellent verbal and written communication skills, able to engage partners and stakeholders on complex topics
  • Ability to quickly grasp business concepts outside immediate area of expertise and adapt to changing business needs
  • Strategic and creative thinker, always seeking new approaches
  • Robust system and solution design mindset, including diligent testing and verification practices

Preferred Qualifications, Capabilities, and Skills:

  • Knowledge of derivatives pricing theory, trading algorithms, and/or financial regulations
  • Experience designing, building, and deploying analytical data products
  • Understanding of a bank’s balance sheet and/or experience with financial optimisation problems
  • Ability to discuss different types of financial risk and approaches to risk management
  • Knowledge of options pricing theory, trading algorithms, or financial regulations
  • Experience with robust testing and verification practices
Join our Quantitative Research team in London, where you will design and implement advanced models, develop analytical tools, and drive innovation in treasury management.

Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

17 days ago

clicks

Quantitative Research - Markets Treasury - Associate

at J.P. Morgan

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: London

Country: United Kingdom

Associate role in Quantitative Research within Markets Treasury based in London, focused on designing and implementing advanced models and analytical tools to assess risk and explain P&L. The role involves building end-to-end data analytics applications, leveraging AI and automation, and delivering scalable solutions with CIB Technology. You will collaborate with Markets Treasury, global partners in APAC and New York, and senior stakeholders to improve treasury management and quantify financial impacts. Requires an advanced quantitative degree, strong Python programming, and familiarity with markets and trading concepts.

Full Job Description

Location: LONDON, United Kingdom


Join our Quantitative Research team in London, where you will design and implement advanced models, develop analytical tools, and drive innovation in treasury management for the Commercial & Investment Bank.


Are you passionate about quantitative modelling and financial innovation? As an Associate in Quantitative Research, you will collaborate with global teams to deliver data-driven solutions and actionable insights. This is your opportunity to work at the forefront of AI, automation, and analytics, supporting strategic objectives in a dynamic market environment. If you thrive on solving complex challenges and driving change, we invite you to join our expert team.

Job Summary:
As an Associate within Quantitative Research, Market Treasury team in London, you will play a key role in designing and implementing advanced models to assess risk and develop tools to predict and explain P&L. You will work closely with the Markets Treasury team and CIB Technology, gaining exposure to large-scale data analytics, AI applications, and automation of reporting processes. You will collaborate with stakeholders across markets and technology to deliver innovative solutions, enhancing treasury management practices and supporting strategic objectives in a fast-paced environment.

Job Responsibilities:

  • Contribute to the strategic transformation of the investment bank into a data-driven business using AI and machine learning
  • Design frameworks and build applications for data analytics
  • Conduct data analysis and identify or explain key factors within large financial datasets
  • Develop end-to-end solutions and user tools that provide valuable analytics to stakeholders
  • Collaborate with business and senior leaders to improve financial resource consumption and quantify impact
  • Partner with technology teams to scale and develop new analytical frameworks and optimisation strategies
  • Work closely with partners in Asia-Pacific and New York to deliver global solutions

Required Qualifications, Capabilities, and Skills:

  • Advanced degree (Master’s or PhD) or equivalent in a quantitative field such as Mathematics, Computer Science, Physics, or Engineering
  • Strong programming background with high proficiency in Python
  • Demonstrated quantitative and problem-solving skills
  • Markets experience and familiarity with general trading concepts and terminology
  • Excellent verbal and written communication skills, able to engage partners and stakeholders on complex topics
  • Ability to quickly grasp business concepts outside immediate area of expertise and adapt to changing business needs
  • Strategic and creative thinker, always seeking new approaches
  • Robust system and solution design mindset, including diligent testing and verification practices

Preferred Qualifications, Capabilities, and Skills:

  • Knowledge of derivatives pricing theory, trading algorithms, and/or financial regulations
  • Experience designing, building, and deploying analytical data products
  • Understanding of a bank’s balance sheet and/or experience with financial optimisation problems
  • Ability to discuss different types of financial risk and approaches to risk management
  • Knowledge of options pricing theory, trading algorithms, or financial regulations
  • Experience with robust testing and verification practices
Join our Quantitative Research team in London, where you will design and implement advanced models, develop analytical tools, and drive innovation in treasury management.