Franklin Templeton is seeking a Quant Implementation Lead to drive the development of the investment engine within their next-generation MosaiQ Platform to deliver better outcomes for clients around the world.
Requirements
- 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.
- Familiarity with backtesting frameworks, data pipelines, and performance attribution tools.
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.
Other
- Minimum 5 years of experience in a technical role within a quantitative finance or investment management environment.
- 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.
- Three weeks paid time off the first year
- Medical, dental and vision insurance
