Index Specialist – QIS/Structured Products

Indxx; Miami (FL); On-site; USD 140,000 - 210,000; Full time

Job summary

Indxx is seeking a highly analytical Quantitative Index Product Developer in Miami to design and backtest systematic indices and implement complex rulesets involving volatility, options, and futures.

Role sits at the intersection of financial engineering and product innovation, delivering institutional-grade investment products with lifecycle management, client solutions, and platform development.

Qualifications

• 3+ years in quantitative research, structuring, or index development.

Responsibilities

• Design, backtest, and optimize systematic indices across asset classes.
• Develop pricing and payoff models for derivative-based indices and vol strategies.
• Draft index methodology documents and ensure regulatory compliance.
• Maintain quantitative research platform with robust backtesting engines.
• Collaborate with sales/structuring to provide bespoke index solutions.

Skills

Python

SQL

Git

Quantitative analysis

Index development

Education

Quantitative discipline degree

Tools

Pandas

NumPy

SciPy

Job description

Company Description

Indxx, founded in 2005, is a leading global index provider with offices in the United States, Europe and India. The company offers innovative solutions, including end-to-end indexing services, data, and technology products, to the investment management community. Renowned for its expertise and technological advancements, Indxx delivers cutting-edge, best-in-class indexing solutions. The company and its indices have garnered multiple nominations and awards, solidifying its position as a key player in the global indexing space. At Indxx, the motto is clear: Indexing Redefined.

Role Description

We are seeking a highly analytical and driven Quantitative Index Product Developer to join our Products team. In this role, you will sit at the intersection of financial engineering and product innovation, designing the next generation of systematic indices.

You will be responsible for the full lifecycle of strategy development—from rigorous backtesting and signal research to the technical implementation of complex rulesets involving volatility, options, and futures. The ideal candidate brings a blend of quant rigor and structuring creativity to build institutional-grade investment products.

Location:

Miami (Preferred)/ Frankfurt/ London/ New York

Key Responsibilities

• Strategy Engineering: Design, backtest, and optimize systematic strategies across Equities and Multi-Asset classes, focusing on risk premia, hedging, and volatility-targeted overlays.
• Complex Modeling: Develop pricing and payoff models for derivative-based indices, including vol-selling strategies, butterfly/spread overlays, and delta-hedged profiles.
• Lifecycle Management: Draft detailed index methodology documents and work with internal legal and compliance teams to ensure strategies are investable and regulatorily compliant.
• Infrastructure Development: Maintain and enhance the quantitative research platform, ensuring high-fidelity data ingestion and robust backtesting engines.
• Client Solutions: Collaborate with sales and structuring desks to provide bespoke index solutions tailored to specific institutional mandates or market views.

Required Qualifications & Skills

• Minimum of 3 years of professional experience in a quantitative research, structuring, or index development role.
• Degree in a quantitative discipline (e.g., Financial Engineering, Mathematics, Physics, or Computer Science) preferred
• Expert-level Python (Pandas, NumPy, Scipy) for data analysis and strategy simulation.
• Strong SQL skills for managing large-scale financial datasets.
• Experience with version control (Git) and collaborative coding environments.
• Deep understanding of Equities (indices, single stocks, and ETFs), derivatives and other asset classes
• Hands-on experience with options: Greeks, volatility surfaces, and futures roll mechanics.
• Familiarity with risk-management metrics (VaR, Expected Shortfall, Sharpe/Sortino ratios).
• Demonstrable experience in creating and implementing live or backtested systematic strategies that have transitioned from concept to production.

Preferred Attributes

• Previous experience on a Structuring Desk at a Tier-1 investment bank, a major Index Provider , or a systematic Asset Manager.
• Knowledge of optimization techniques (e.g., mean-variance, Black-Litterman) and machine learning applications in signal processing.
• Ability to translate complex mathematical concepts into clear, non-technical insights for stakeholders.