Senior Quantitative Analyst (AI)

Location: Greater Boston Area (Lincoln, Massachusetts) or New York City; hybrid schedule with onsite work three days per week. Candidates must be able to work in the United States without sponsorship.

Salary: $160,000–$185,000 annually, plus discretionary bonus.

Company

hirify.global is an asset, wealth management, and fintech firm serving individuals, families, institutions, and investors worldwide.

What you will do

• Partner with Portfolio Management and Investment Research to resolve quantitative questions and communicate clear, actionable findings.
• Maintain and enhance portfolio and risk analytics, including factor exposures, risk decomposition, attribution, forecasting, scenario analysis, and stress testing.
• Analyze portfolio, market, and risk data to identify performance and risk drivers, assumptions, and limitations.
• Own data pipelines, reconciliation, exception management, and recurring data-quality controls for holdings, exposures, market, fundamental, and reference data.
• Design quantitative analytics and production workflows in Python and SQL, including reusable libraries and automated processes.
• Contribute to strategic asset allocation research, simulation, backtesting, quarterly analysis, reporting, and responsible integration of AI-enabled capabilities.

Requirements

• Bachelor’s degree in finance, economics, mathematics, statistics, engineering, computer science, or a related quantitative discipline.
• 6–8 years of relevant experience in investment analytics, quantitative research, risk, portfolio analytics, or a related field.
• Strong Python, SQL, Excel, and VBA skills, with experience translating analysis into production-quality code and controlled workflows.
• Knowledge of multi-asset investing and risk concepts, including duration and curve risk, equity and credit risk drivers, diversification, and scenario analysis.
• Experience with Git-based version control, testing, documentation, data-quality processes, and communication with non-technical stakeholders.
• Ability to work in the United States without sponsorship; visa sponsorship or transfer is not available now or in the future.

Nice to have

• Experience with FactSet, Bloomberg, portfolio accounting, holdings data, AWS, Azure, Snowflake, Tableau, Power BI, or Python visualization applications.
• Experience with quantitative or statistical modeling for portfolio analytics, forecasting, or risk analysis.
• Experience using LLM-based tools with knowledge of model risk and responsible AI practices.
• Progress toward or completion of CFA or FRM.

Culture & Benefits

• Hybrid work environment with collaboration across global offices and investment teams.
• Annual discretionary bonus, 401(k) plan with generous match, recognition rewards, and employee stock investment program.
• Healthcare, insurance, disability, paid vacation, holidays, sick leave, parental and caregiving leave, bereavement leave, and volunteering time.
• Learning resources, career development programs, education reimbursement, and a wellbeing program.