What We Do

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

Position Overview

We are seeking a motivated and detail-oriented Quantitative Analyst at the Associate level to join our dynamic team. This role is central to the integrity of our investment process, focusing on the data, modeling, and analysis of Exchange-Traded Funds (ETFs). The ideal candidate will leverage a strong background in mathematics, statistics, and programming to manage daily data processes, refine fair value models, and contribute to quantitative research. This position offers a unique opportunity to develop deep expertise in ETF mechanics and play a critical role in our daily operations.

Key Responsibilities

• Monitor and reconcile daily data pipelines for ETF inputs, including US and non-US security prices, corporate actions, and risk model data.
• Run daily Fair Value Models (FVMs) and projection processes, ensuring the accuracy and timeliness of model outputs.
• Analyze model results and apply deep knowledge of ETF composition to make subjective adjustments, correcting for data quality issues or market events.
• Collaborate with global stakeholders on subjective FVM adjustments, ensuring the rationale and impact of events like corporate actions and index rebalances on ETF Net Asset Value (NAV) are clearly understood 1.
• Proactively identify and diagnose weaknesses in data and modeling workflows, suggesting and implementing process improvements.
• Contribute to quantitative research projects aimed at improving proprietary projection methodologies and enhancing commercial risk models.

Requirements and Qualifications

• Educational Background: A Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics, Statistics, Financial Engineering, Computer Science, or Physics.
• Experience: 3-5 years of relevant experience in a quantitative or data-intensive role within the financial industry.

Technical Skills:

• Strong programming proficiency in Python and SQL is required.
• Experience with Perl is a plus.

Quantitative Skills:

• A strong foundation in applied mathematics and statistics is essential.
• Experience with financial modeling and data analysis.
  Domain Knowledge:
• A solid understanding of ETF structures, including creation/redemption, NAV calculation, and portfolio composition 2.
• Knowledge of how corporate actions (e.g., splits, dividends) and index rebalancing affect ETF pricing and valuation is highly desirable 3.
• Familiarity with Fair Value Models (FVM) and financial risk models.
  Personal Attributes:
• Exceptional analytical and problem-solving abilities.
• High level of attention to detail and accuracy.
• Strong communication skills, with the ability to explain complex quantitative topics to non-technical stakeholders.

Goldman Sachs Engineering Culture

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html©

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