Jobs

Quantitative Research - Sales FICC - Franchise Analytics - Vice President
New York, NY
·
On-site
·
Full-time
·
2w ago
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Backup Childcare
•Learning Budget
•Mental Health
•Healthcare
•401k
•Equity
•Learning
•Mental Health
Required Skills
Python
Machine Learning
Statistical Analysis
Derivatives Pricing
Fixed Income
Quantitative skills are at the core of J.P. Morgan's capabilities, contributing critically to the competitiveness and innovative power of our firm. The team's mission is to drive process efficiency and revenue generation improvements for the Fixed Income Sales organization through the deployment of data and analytics allowing us to better understand our clients behaviors, interests and needs.
Job Summary:
As the Vice President within the Quantitative Research Sales Analytics team, you will utilize your data and analytical expertise to enhance trade idea generation, improve efficiency, and promote monetization within our Sales business. You will possess a deep understanding of Fixed Income, extensive knowledge of derivatives and investment strategies, proficiency in statistical methods including machine learning, strong Python programming skills, and exceptional communication abilities.
Job Responsibilities
- Work closely with Sales to build algorithms and workflows that enhance the way we service clients
- Innovate and evolve trade idea methods and workflows, leveraging a combination of diligent data analysis, traditional statistical reasoning, and advanced machine learning techniques;
- Diligently architect and manage the evolution of the code base, including collaborating with other teams to maximize scale and leverage across the organization.
Required qualifications, capabilities and skills:
- Demonstrable years of professional experience in a similar role;
- Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e. Mathematics, Physics, Statistics, Economics, Computer Science, etc.);
- Strong knowledge and experience in Derivatives pricing, Fixed Income and investment strategies
- Demonstrated experience applying statistical and/or machine learning techniques in the finance industry.
- Strong Python programming, including code architecture. Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources;
- Autonomy, excellent communication and strong motivation.
Preferred qualifications, capabilities and skills:
- Significant experience working in a quantitative group covering investment, structuring and/or trading businesses
ABOUT US
JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM:
J.P. 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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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
Recommend to a Friend
Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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