Portfolio Quant Analytics Specialist

BBVA Global Wealth Advisors; Miami (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

BBVA Global Wealth Advisors is seeking a Risk & Analytics Quantitative Analyst to design, develop, and maintain models used for asset allocation, portfolio construction, and portfolio analysis.

The role reports to the Head of Risk & Analytics and collaborates with Investments and Risk teams, plus maintains data and analytics infrastructure across platforms.

Required skills include Python, R, MATLAB, SQL; solid grasp of fixed income, equities, ETFs and mutual funds; strong communication.

Qualifications

• Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Economics, Computer Science or Engineering.
• Minimum 3+ years related experience.
• Programming skills in Python, R, MATLAB, SQL.
• Proficiency with data analysis tools and financial platforms (Bloomberg, FactSet, Morningstar).
• Knowledge of financial markets including equities, fixed income, ETFs, and mutual funds.
• Strong communication and teamwork, ability to work independently.
• CFA and Series 65 desirable.

Responsibilities

• Portfolio construction and optimization support for Advisory and DPM.
• Strategy evaluation for new strategies, products, and investment vehicles.
• Quantitative modeling and portfolio analytics, including back-testing and risk attribution.
• Model governance and documentation to ensure reproducibility and audit trail.
• Data infrastructure: design, build, and maintain pipelines and reporting tooling.
• Reporting for CIO and Investment Committee; materials for clients.
• Fiduciary analytics support with Risk team.

Skills

Python

R

MATLAB

SQL

Education

Bachelor's or Master's degree in Finance/Math/Statistics/CS/Engineering

Tools

Bloomberg

FactSet

Morningstar

Job description

BBVA Global Wealth Advisors is seeking a Risk & Analytics Quantitative Analyst to design, develop, and maintain models used for asset allocation, portfolio construction, and portfolio analysis.

The role reports to the Head of Risk & Analytics and collaborates with Investments and Risk teams, plus maintains data and analytics infrastructure across platforms.

Required skills include Python, R, MATLAB, SQL; solid grasp of fixed income, equities, ETFs and mutual funds; strong communication.