Jobs at Franklin Templeton

As a Junior Quantitative Trader, support trading activities, analyze algorithm performance, improve trading workflows, and assist with compliance and risk management.

As a Data & Automation Engineer, you'll build data platforms, design data models, manage datasets, and optimize data pipelines for analytics and decision-making.

Support day-to-day cash equity and FX trade execution, monitor market conditions and algorithm performance, analyze execution costs and drivers, produce reporting, automate analyses and workflows, work with large trade datasets, and assist with trade monitoring, reconciliations, and adherence to risk and compliance frameworks.

The Treasury Analyst will manage daily accounting, cash activity, perform reconciliations, update cash flows, and support audits while collaborating with team members.

Manage data governance practices, maintain data definitions, document data lineage, monitor data quality, and collaborate with cross-functional teams.

The Senior Client Portfolio Manager will manage relationships with clients, articulate investment strategies, and promote business growth in fixed income investment strategies.

Monitor and resolve pre-trade compliance alerts and post-trade exceptions, apply SEC and client guidelines, prepare regulatory reports, onboard new accounts and set compliance rules, improve controls and processes, and coordinate with trading, portfolio management, operations, and global support teams to ensure compliant trading activity.

Support North American client portfolio managers by assisting sales and client service across U.S./Canadian channels. Translate portfolio holdings and market data into sales ideas, produce portfolio/market updates, analyze segmentation and platform availability, and collaborate with portfolio specialists to develop client-facing collateral and positioning.

Support senior developers and researchers to integrate and optimize research data processes and portfolio models. Develop stable, scalable code in C#, Python, and SQL, build robust data pipelines from varied sources, and collaborate with quants and portfolio managers to implement, support, and run production models and ad-hoc analytics.

Research, process, reconcile, and resolve corporate action events (dividends, splits, mergers, rights issues, spin-offs). Communicate with banks, issuers, and vendors, collaborate with international stakeholders, and support workflow improvement and automation projects.

The Investor Relations Roadshow Coordinator will assist in coordinating roadshows, liaising with internal teams and stakeholders, and ensuring smooth communication and logistics for investor-related events.

As an Investment Risk Analyst, you will monitor financial risks, enhance risk policies, conduct risk analysis, and support investment decision-making while ensuring compliance with regulatory standards.

The FTS PANBS Specialist manages account onboarding, lifecycle events, and documentation, coordinating asset funding and maintaining data for institutional accounts.

The Sr Data Analyst will build and optimize cloud data pipelines, create data models, develop ETL processes, design Power BI dashboards, and collaborate with various teams to enhance data solutions.

The Finance Analyst will assist in financial analysis, model financial scenarios, and support data interpretation to deliver insights for investment goals.

Oversee Aladdin investment management platform, lead data migration, design global operating model, manage trade processing, enhance risk management, and drive automation across global teams.

The Compliance Director oversees regulatory compliance functions, mentors compliance professionals, and collaborates with stakeholders to ensure adherence to regulations.

The Marketing Manager will support global strategies for private markets, develop messaging, collaborate with teams, conduct research, and manage campaigns.

The Program Manager will oversee strategic planning and implementation of regulatory changes, managing multi-functional program efforts, driving governance, and ensuring compliance across the organization.

Design and implement production-grade multi-agent LLM systems and agent workflows for advisor-facing tools. Build distributed, observable services (model serving, vector DBs, RAG) with memory/state management, validation, and compliance. Partner with product and engineering to optimize for latency, cost, and reliability, and establish evaluation frameworks to ensure grounded, auditable AI-driven insights for portfolio and advisor workflows.