Customer Support

Overview

LSEG Taguig, National Capital Region, Philippines

We are the world's leading source of intelligent information for businesses and professionals. By joining the LSEG Quantitative Product Specialist team, you will be enabling the discovery of new financial relationships and strategies. The Quant Product Specialist team understands clients’ quantitative requirements from data to workflow needs and applies deep technical skills to build sophisticated data calculations and workflows tailored to customer requirements.

We are platform and content authorities who convey the benefits, insights, functionality and usability of our solutions, and contribute to internal initiatives to fix issues and develop new features.

Provide direct specialized customer service support to analysts, researchers, and quants at world‑class investment firms, banks and hedge funds. Assist clients in understanding, extracting and correct usage of LSEG and third party data from a centralized relational database (SSMS, Oracle and Snowflake) for back-testing models. Perform quality checks, research, code scripts, and answer client inquiries on content and database functionality, coordinating with vendors, content specialists, developers and product managers through to resolution. Build and foster relationships with existing clients through training, meetings, implementation support, case management and timely assistance in financial research projects and model development. Improve the customer experience by advocating for and testing new product features and promoting increased product usage in client workflows. Meet with Sales and prospective customers to gather product and integration requirements, demonstrate platform capabilities, and assist in onboarding new business.

• Provide direct specialized customer service support to analysts, researchers, and quants at major investment firms, banks and hedge funds
• Assist clients in understanding and using LSEG and third party data from a centralized relational database for back-testing models
• Quality check, research, code scripts, and respond to client inquiries on content and database functionality; coordinate with internal and external parties through to resolution
• Build and foster relationships with existing clients through training, implementation support, case management and timely assistance in financial research and model development
• Advocate for and test new product features to improve customer experience and product usage in client workflows
• Collaborate with Sales and prospective customers to gather requirements, demonstrate platform capabilities, and support onboarding

• Bachelor of Arts/Bachelor of Science from a top university in Engineering/Computer Science, Finance, or Mathematics
• Knowledge of analytical tools and databases; experience with Microsoft SQL, Oracle, or Snowflake coding
• Experience with equity market data and general financial markets understanding
• Experience in quantitative analytics / equity research / equity or credit risk or financial modeling
• Familiarity with statistics and econometric packages (SPSS / Minitab / Stata / SAS / Matlab / R)
• Ability to collaborate and communicate with technical and non-technical personnel via phone, in person, and in writing
• Ability to give effective presentations and provide ad hoc answers
• Curious mentality and strong problem-solving skills

Join us and be part of a team that values innovation, quality, and continuous improvement. We offer a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are an equal opportunities employer and do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. We are committed to sustainability and to helping customers meet their sustainability objectives. Colleagues can get involved through fundraising and volunteering.

• Entry level

• Full-time

• Research, Analyst, and Information Technology
• Industries: IT Services and IT Consulting and Financial Services