Buyside Front Office Solutions Specialists, APAC

FactSet Singapore Pte Ltd; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading data and analytics provider in Singapore seeks an Institutional Buy-side Solutions Specialist to build strong client relationships and drive product deployment. The role emphasizes technical demonstrations and collaboration with cross-functional teams to maximize client satisfaction and ASV growth. Ideal candidates have 5-8 years of relevant experience and proficiency with analytical solutions and portfolio management, enabling them to articulate technology's role in investment decisions.

Qualifications

• 5-8 years of experience supporting front-office users.
• Demonstrated proficiency with portfolio analytics and risk models.
• Familiarity with Python and analytical tools is a strong advantage.

Responsibilities

• Drive adoption across a defined book of business.
• Serve as a trusted workflow specialist.
• Partner closely with Sales and Product teams on opportunity strategy.

Skills

Portfolio analytics

Risk models

Python

Communication skills

Analytical solutions

Tools

JupyterLab

Job description

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.

At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.

Institutional Buy-side Solutions Specialist

The Solutions Specialist will drive sales by building strong relationships, providing the highest level of service in specific subject matters and workflows to maximize client satisfaction and grow product deployment. As the primary focus is deployment of products and services, which inherently will drive Annual Subscription Value (ASV), it also means echoing a consistent message of partnering across FactSet teams to explore new and creative ways we can service our clients. The ideal candidate will be able to drive deployment where growth exists, and at the same time solidify our existing user base by partnering with sales and client solution generalists.

The Solutions Specialist will work closely with RCS team to establish plans and strategies to maximize ASV growth in assigned accounts with a specific emphasis on middle office workflows for different types of firms. The role will execute a client-centric approach and exhibit enterprise solution selling techniques.

What You’ll Do:

• Drive adoption and impact across a defined book of business by enabling clients to maximise value from FactSet’s Front Office Solutions—Risk, Quant, Portfolio Management, and Research.
• Serve as a trusted workflow specialist, delivering best practices, technical demonstrations, and tailored solution designs that align with client investment processes.
• Partner closely with Sales, Consulting, and Product on opportunity strategy
• Lead technical conversations and demos, discovery discussions, and solution design with key stakeholders (portfolio managers, analysts, quants, CIO/Risk teams), ensuring FactSet’s capabilities are clearly understood and successfully integrated.
• Gather and synthesize client workflow insights to influence product direction and ensure FactSet remains aligned with evolving market needs.
• Maintain an active understanding of the competitive landscape and articulate FactSet’s differentiated value within the front‑office ecosystem.

What We’re Looking For:

• 5–8 years of experience supporting front‑office users or delivering analytical solutions in investment management or financial technology.
• Demonstrated proficiency with portfolio analytics, optimizers, simulations, risk models, or quantitative workflows.
• Hands‑on with analytical tools, data models, and front‑office systems, with prior experience in investment management or on the vendor side.
• Familiarity with Python and open‑source environments (e.g., JupyterLab) to support analytical workflows is a strong advantage.
• Strong understanding of buy‑side systematic research and portfolio management, spanning Asset Allocation, backtesting, portfolio optimization & simulation.
• Able to articulate how technology enables better investment decisions.
• Engages clients with insight: able to translate complex analytics into meaningful outcomes and guide conversations that deepen client trust.
• Collaborative, relationship‑driven professional who thrives in a client‑facing role and enjoys working cross‑functionally to deliver exceptional client experiences.
• Excellent communication skills, with the ability to simplify technical concepts and engage senior investment professionals.
• Strong commercial awareness and commitment to delivering measurable client value.
• Highly organized, detail‑oriented, and comfortable navigating fast‑paced environments with multiple stakeholders.

Company Overview:

FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy‑side and sell‑side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next‑generation workflow solutions, and client‑centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more atwww.factset.comand follow us onXandLinkedIn.

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.