The Head of Data Science at Investment Technology Solutions (ITS) leads the development of a globally scalable AI-enabled data science capability, enhancing investment outcomes across asset classes. This senior role involves partnering with CIOs and Portfolio Managers to translate investment challenges into analytical solutions, developing alpha signals, risk models, and optimization engines embedded in platforms like Aladdin or Wall Street Office. The incumbent will design and implement a robust cloud-based data science platform supporting research environments, feature stores, and MLOps frameworks while ensuring compliance with regulatory standards. Additionally, they will establish a high-performing global data science organization, contributing to enterprise AI initiatives and promoting responsible AI principles. Ideal candidates have over 10 years of experience in asset management or quantitative investment technology, with expertise in multi-asset portfolio optimization, risk modeling, and cloud-native architectures.
Lead the development of advanced analytics and machine learning solutions to enhance investment outcomes.
Design and implement a robust cloud-enabled data science platform supporting research, feature stores, and MLOps.
Embed analytical capabilities within portfolio construction, trading, and risk systems for quantifiable performance improvements.
Establish and scale a high-performing global data science organization aligned with ITS strategy.
Ensure compliance with model risk management standards and regulatory expectations in AI/ML solutions.
Collaborate across Risk, Finance, Operations, and Distribution teams to extend enterprise AI capabilities.
What we're looking for
10+ years’ experience in asset management or quantitative investment technology environments.
Proven leadership in building and scaling data science teams within a tech-enabled model.
Track record of delivering production-grade AI/ML solutions embedded in investment platforms.
Deep understanding of multi-asset portfolio construction, risk modeling, and market dynamics.
Strong command of statistical modeling, machine learning, time-series analysis, and cloud-native architectures.
Experience with enterprise investment platforms like Aladdin or Wall Street Office.
CFA designation and advanced degree in quantitative finance or related field preferred.
Market check
Salary context
This
$208,000–$270,000
range sits above
92%
of similar postings on FindRole.
Peer median band
$110,000–$218,640
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$197,820
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Franklin Templeton
Franklin Templeton is a global investment management organization offering a wide range of mutual funds, ETFs, and alternative investment solutions to retail and institutional investors worldwide. Industry: Investment Management & Asset Management
Franklin Templeton currently has
5 open roles
on FindRole.
Listed pay typically runs
$125,000–$165,000
across 5 roles with salary data.