Apply on Employer Site

Chase · 1 day ago

Wealth Management , Chief Investment Officer Portfolio Analytics Team, Vice President

270 Park Ave, New York, NY, 10017, US

Full-time

Onsite

Mid Level

$142K/yr - $210K/yr

3+ years exp

J.P. Morgan Chase & Co. is a leading global financial services firm, and they are seeking a Vice President to join the Portfolio Analytics team within Wealth Management’s Chief Investment Officer Team. The role involves developing proprietary models and analytical tools for asset allocation, portfolio construction, performance attribution, and risk management.

BankingFinancial Services

Responsibilities

Risk Modeling: Research, develop and run risk models for multi-asset portfolios

Performance Attribution: Research, develop and run performance attribution for multi-asset portfolios

Quantitative Research: Build and maintain models using advanced coding skills (Python, MATLAB), leveraging large and complex datasets. Apply statistical and machine learning techniques to enhance investment research and portfolio management

Data Management: Help maintain and manage datasets used within the CIO team

Model Management: Work with Model Review and Governance teams to document, test and validate models used within the team

Collaboration and Communication: Collaborate with portfolio managers, product managers, and Technology on an on-going basis. Clearly and effectively communicate complex quantitative concepts, findings, and actionable insights to portfolio managers and other investment professionals

Qualification

PythonStatistical analysisMachine learningPerformance attributionCFA designationAnalytical mindsetCommunication skillsTeamwork skillsProblem-solvingAttention to detail

Required

Bachelor's or Master's degree in a quantitative field (Mathematics, Engineering, Computer Science, etc.)

Minimum 3 years' experience on an investment team in an asset management firm

Advanced programming skills in Python, including experience with data analysis libraries (e.g., Pandas, NumPy)

Proficiency in statistical analysis, econometrics, machine learning, and/or AI techniques

Understanding of performance attribution techniques

Preferred

Strong analytical mindset with intellectual curiosity, problem-solving, and critical thinking skills, as well as excellent attention to detail

Excellent communication skills (listening, verbal, and written), with the ability to explain quantitative concepts to non-quant colleagues

Clear passion for financial markets and investing

High-level interpersonal and teamwork skills

Effective multi-tasking and prioritization capabilities

Ability to operate productively in a collaborative, fast-paced, team-oriented environment

CFA designation or demonstrated progress toward CFA designation

In-depth understanding of equity and fixed income markets. Understanding of alternatives and private markets

Strong experience applying risk models for portfolio management and in portfolio construction; experience with fundamental risk models such as Barra, Axioma, PORT