At a Glance
- Tasks: Develop advanced models and analytics to optimise financial decision-making and automate processes.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse work environment, and unique growth opportunities.
- Other info: Collaborative team culture with opportunities for mentorship and career development.
- Why this job: Make a real impact by solving complex business challenges with cutting-edge technology.
- Qualifications: Advanced degree in a quantitative field and strong experience in modelling and analytics.
The predicted salary is between 99000 - 121000 £ per year.
The Prime Finance Quantitative Trading and Research (QTR) team in London develops and maintains advanced mathematical models, innovative methodologies, and robust infrastructure to support and grow the Prime Financial Services business.
Our mission is to optimize decision-making, automate processes, and manage and hedge risk.
Prime Financial Services provides financing and securities lending to institutional investors, optimizes the bank's inventory and balance sheet, and delivers strategic solutions to clients.
The QTR team partners closely with trading, technology, and risk teams to deliver impactful tools and analytics.
The team specializes in building models that leverage Machine Learning, Statistics, and Operations Research to solve complex business challenges.
As a Vice President in QTR Prime Finance, you will collaborate with senior stakeholders to design and implement those models and help drive business revenue, enhance risk management, and automate workflows.
Typical projects include predicting changes in borrow rates or forecasting market demand, unraveling patterns and causality in the data, researching alpha signals and optimizing pricing and inventory allocation to maximize our revenue and profits.
As Vice President in the team you will be involved in regular collaboration with the trading desk.
In addition to strong technical expertise, excellent communication skills are essential for effectively engaging with stakeholders and translating complex quantitative concepts into actionable business solutions.
Experience in Prime Finance is preferred but not required.
We provide on-job training, and through the diversity of the businesses it supports and the variety of functions that it is responsible for, the QTR group provides unique growth opportunities for you to develop your abilities and your career.
Job responsibilities
- Develop and implement mathematical, statistical, and machine learning models to optimize revenue and profitability for stock borrow-loan, cash, and synthetic financing books, as well as predictive analytics to forecast borrow rates, product demand, and other key business drivers.
- Apply operations research and optimization techniques to automate and enhance traders' decision-making and inventory management.
- Analyse market data to uncover patterns, causality and inform business strategy.
- Research and develop alpha signals and automated hedging strategies, both to assist in the systematic trading efforts of the firm and to contribute to the suite of commercialised datasets of the business
- Collaborate with trading, technology, and risk teams to deliver quantitative tools and solutions.
- Build and maintain robust infrastructure for model deployment and analytics delivery.
- Ensure models and analytics meet rigorous control and risk management standards.
- Continuously improve existing models and methodologies in response to evolving business needs.
- Communicate complex quantitative concepts to senior stakeholders and non-technical audiences.
- Mentor junior team members and contribute to a collaborative team environment.
- Document models, methodologies, and processes for transparency and knowledge sharing.
- Required Qualifications, Capabilities and Skills
- Advanced degree (Masters or Ph D) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field.
- Significant experience in quantitative modelling, analytics, or related roles.
- Strong background in AI, machine learning, operations research, or revenue/yield management.
- Proficiency in Python for data analysis, modelling, and software development.
- Deep understanding of statistics, AI, and optimization techniques.
- Demonstrated ability to solve complex quantitative problems and deliver business impact.
- Excellent communication and presentation skills, especially with senior stakeholders.
- Ability to work collaboratively in cross-functional teams.
- Strong organizational skills and attention to detail.
- Experience with large-scale data analysis and visualization tools.
- Preferred Qualifications Capabilities and Skills
- Experience with systematic trading and alpha signal research
- Experience in Prime Finance, securities lending, or inventory management.
- Familiarity with revenue and yield management strategies.
- Hands-on experience with machine learning frameworks (e. g., scikit-learn, Tensor Flow, Py Torch).
- Knowledge of optimization libraries and techniques (e. g., Gurobi, CPLEX, linear/nonlinear programming).
- Track record of publishing research or presenting at industry conferences.
- Experience mentoring or leading junior researchers.
ABOUT US
Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors.
Our first-class business in a first-class way approach to serving clients drives everything we do.
We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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.
ABOUT THE TEAM
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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Quantitative Trading & Research - Prime Finance Quantitative Research - Vice President employer: Fairygodboss
JPMorganChase is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. As a Senior AI/ML Platform Engineer, you will have access to cutting-edge technology and resources, alongside opportunities for professional growth and development within a supportive team culture that values diversity and inclusion. With competitive benefits and a commitment to employee well-being, JPMorganChase stands out as a place where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Trading & Research - Prime Finance Quantitative Research - Vice President
✨Tap into Campus Networks
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We think you need these skills to ace Quantitative Trading & Research - Prime Finance Quantitative Research - Vice President
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Fairygodboss.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Fairygodboss's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Fairygodboss
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Fairygodboss.
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Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Fairygodboss will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
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Before your interview, reach out to current or former Fairygodboss employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
