Franklin Templeton Investment Solutions (FTIS) is seeking a Quant Implementation Lead to drive the development of the investment engine within our next-generation MosaiQ Platform. FTIS is a $90B+ investment manager, and this investment platform will become the backbone of our end-to-end multi-asset portfolio construction process.
This is a front-office role with a highly visible mandate: to embed our investment philosophy into a scalable, transparent, and flexible system used by all FTIS portfolios. You will work in close partnership with Portfolio Managers, Quant Researchers, and Technologists to design and implement a modern platform that directly supports investment decision-making.
This is mission-critical, high-impact, and a top strategic priority for FTIS. The successful candidate will blend technical leadership with a deep understanding of investment workflows and will play a central role in ensuring the platform powers the firm’s investment process for years to come.
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.
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.
Technical Expertise
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.
Domain Knowledge
Solid grasp of financial markets, risk modeling, and portfolio optimization techniques.
Familiarity with backtesting frameworks, data pipelines, and performance attribution tools.
Collaboration & Communication
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.
When applying, please be sure to attach your resume / CV. Applications without a resume file attachment will not be reviewed.
Compensation Range: Franklin Templeton offers employees a competitive and valuable range of total rewards—monetary and non-monetary — designed to support their well-being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational well-being program. We expect the annual salary for this position to range between $145,000 to $190,000, plus an annual discretionary bonus, depending on location and level of relevant experience.
Agency Disclaimer:
Please note that we are not engaging staffing agencies or external recruiters for this position at this time. Any unsolicited resumes or candidate profiles submitted to the company or any employee will be considered the property of the company. We will not be responsible for any fees or charges associated with unsolicited submissions, and no agency or search fees will be paid.
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