Research Analyst

Soros Fund Management•New York, NY

9d•$150,000 - $175,000•Onsite

About The Position

Soros Fund Management LLC (SFM) is a global asset manager and family office founded by George Soros in 1973. With $28 billion in assets under management (AUM), SFM serves as the principal asset manager for the Open Society Foundations, one of the world’s largest charitable foundations dedicated to advancing justice, human rights, and democracy. Distinct from other investment platforms, SFM thrives on agility, acting decisively when conviction is high and exercising patience when it’s not. With permanent capital, a select group of major clients, and an unconstrained mandate, we invest opportunistically with a long-term view in a wide range of strategies and asset classes, including public and private equity and credit, fixed income, foreign exchange, and alternative assets. Our teams operate with autonomy, while cross-team collaboration strengthens our conviction and empowers us to capitalize on market dislocations. At SFM, we foster an ownership mindset, encouraging professionals to challenge the status quo, innovate, and take initiative. We prioritize development, enabling team members to push beyond their roles, voice bold ideas, and contribute to our long-term success. This culture of continuous growth and constructive debate fuels innovation and drives efficiencies. Our impact is measured by both the returns we generate and the values we uphold, from environmental stewardship to social responsibility. Operating as a unified team across geographies and mandates, we remain committed to our mission, ensuring a meaningful, lasting impact. Headquartered in New York City with offices in Greenwich, Garden City, London, and Dublin, SFM employs 200 professionals. The Structured Products team invests across the breadth of the securitized products space, spanning Agency MBS, Non-Agency MBS, CLOs, and CMBS. We run a sector-relative-value approach, continuously evaluating opportunities across sectors, tranches, and the capital structure to position the portfolio for the best risk-adjusted carry and total return. We are looking for a sharp, curious analyst to work directly with portfolio managers and help drive the investment process. This is a hands-on, high-visibility role with the opportunity to grow and take on more responsibility while deepening expertise across multiple sectors in securitized products.

Requirements

Background in structured products, ideally with 2-4 years direct experience in Agency or Non-Agency MBS, and the ability to pick up and support other sectors (CLO, CMBS) over time
Solid grasp of fixed income risk concepts — including DV01, convexity, volatility, and spread risk — and how they apply across securitized sectors.
Working knowledge of core industry tools: Intex, Yield Book, and Bloomberg.
Comfort with portfolio analytics, risk scenarios, and large data sets.
Demonstrated use of AI tools to improve efficiency and automate parts of the workflow.
Strong attention to detail and a disciplined approach to managing multiple workstreams alongside recurring daily deliverables.

Nice To Haves

Demonstrated ability to develop a deep understanding of a sector and translate it into actionable investment ideas.
Programming experience in Python (or comparable tools) for analysis, automation, and tooling.
Exposure to more than one securitized products sector.

Responsibilities

Run daily analytics and stress scenarios (rate, spread, and other risk factors), flagging anything requiring PM attention.
Monitor spreads and relative-value signals across sectors and tranches in real time.
Maintain portfolio positioning, carry, trade activity, and composition; coordinate with risk and operations as needed.
Track the new-issue calendar, maintain pipeline trackers, and coordinate with legal on NDAs and conflict checks.
Follow sell-side research and sector calls to stay current across all covered markets.
Monitor portfolio holdings for default trends, prepayment behavior, and collateral performance.
Contribute to ad hoc research projects and, over time, develop sector views deep enough to generate investment ideas.
Identify manual or repetitive workflows and build faster, automated solutions — with an emphasis on AI tools.