Securitized Products Trader

Man Group•New York, NY

10h•$125,000 - $175,000•Hybrid

About The Position

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com. At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here. As at 31 March 2026.

Requirements

3–5 years of experience trading Agency MBS and CMO securities; knowledge of CLOs is a plus.
Proven ability to execute high volumes of dynamically negotiated trades in these markets.
Deep understanding of collateral characteristics and performance behavior across securitized products.
Strong working knowledge of Intex, Yield Book, and Bloomberg as pricing and analytical tools.
Familiarity with prepayment and default models used in these sectors.
Strong communication skills, with the ability to work effectively across teams and manage multiple priorities.
Ability to understand, frame, and communicate ideas within a mathematical or analytical framework.
Strong academic record, with a degree in a quantitative discipline such as Mathematics, Computer Science, Engineering, Economics, Physics, or a related field.
Strong Python and coding skills, with an interest in applying AI-driven tools and automation to trading, execution analysis, market intelligence, and workflow optimisation.

Nice To Haves

knowledge of CLOs is a plus.

Responsibilities

Trade Agency MBS and CMO securities, with limited exposure to CRT and CLO products.
Monitor, participate in, and manage auctions/BWICs across these asset classes, in coordination with quant and strat teams.
Monitor dealer inventories for bond offerings, relative value opportunities, and market flows.
Execute trades through dealer liquidity channels where appropriate.
Monitor dealer chat flows in real time for potential offerings from other funds and pursue off-market or out-of-competition execution opportunities where attractive.
Maintain a deep understanding of market structure, trading protocols, and liquidity dynamics across securitized products.
Track new-issue markets across the relevant asset classes, monitor flows, negotiate terms, and purchase new-issue bonds.
Drive best execution through effective negotiation and venue optimisation.
Record and maintain execution quality metrics in the appropriate systems.
Build and maintain strong dealer relationships and gather market intelligence, including: trade levels and spread indications across sectors, the most active dealers and investor base by sub-asset class, upcoming market, regime, and policy developments relevant to trading and portfolio construction.
Use market intelligence to: optimise execution venue selection by bond type, provide feedback to improve quant processes, recommend dealer-specific bid/ask adjustments by sector.
Review indicative pricing grids produced daily by the quant team and recommend level adjustments where necessary.
Collect and assess real-time analytics for out-of-competition and dynamically negotiated bonds in coordination with PMs.
Review trades and system-generated relative value metrics as a sanity check.
Contribute to improving prepayment and default models used in relative value analysis.