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Quant Implementation Lead – MosaiQ (Multi-Asset Investment Platform)

Franklin Templeton

$145,000 - $190,000
Aug 26, 2025
Boston, MA, US
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Franklin Templeton Investment Solutions (FTIS) is seeking a Quant Implementation Lead to drive the development of the investment engine within their next-generation MosaiQ Platform. This platform will become the backbone of their end-to-end multi-asset portfolio construction process, embedding their investment philosophy into a scalable, transparent, and flexible system.

Requirements

  • Minimum 5 years of experience in a technical role within a quantitative finance or investment management environment.
  • Proven track record as a Quantitative Researcher, Developer, or Analyst, ideally within a buy-side asset management firm.
  • Deep understanding of systematic investment strategies, quantitative portfolio construction, and alpha research.
  • Strong programming skills in Python (required)
  • Experience designing, building, and maintaining critical production systems used in investment decision-making or portfolio management.
  • Proficiency in working with large-scale financial datasets, time series analysis, and statistical modeling.
  • Solid grasp of financial markets, risk modeling, and portfolio optimization techniques.

Responsibilities

  • Lead the development of the investment engine, the core platform enabling portfolio construction at FTIS.
  • Collaborate with quantitative investment staff to ensure that investment processes and quantitative models are translated into robust, scalable systems.
  • Gather complex requirements from the investment team and distill them into elegant and approachable designs.
  • Educate and mentor professionals across FTIS, promoting best practices and adoption of the platform.
  • Experience designing, building, and maintaining critical production systems used in investment decision-making or portfolio management.
  • Proficiency in working with large-scale financial datasets, time series analysis, and statistical modeling.
  • Familiarity with backtesting frameworks, data pipelines, and performance attribution tools.

Other

  • Ability to work closely with portfolio managers, researchers, and data engineers to translate investment ideas into scalable solutions.
  • Strong communication skills with the ability to explain complex quantitative concepts to non-technical stakeholders.
  • Applications without a resume file attachment will not be reviewed.
  • MID_SENIOR_LEVEL
  • LI-Onsite