Senior Content Analytics Lead

London Stock Exchange Group; Taguig; On-site; PHP 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Paid volunteering days

Wellbeing initiatives

Job summary

London Stock Exchange Group (LSEG) is seeking a Senior Associate to advance data science initiatives across finance-related analytics. You will build automated data-processing pipelines, develop models, and translate insights into actionable recommendations for technical and non-technical audiences.

You will collaborate with business, content and product teams to deliver large-scale analytics and dashboards while driving continuous improvement and leveraging Lean Project Management practices.

Qualifications

• Higher education in Statistics, Mathematics or Engineering with Data science certification.
• Experience in data science within finance or related industry.
• Strong programming and data analysis skills with exposure to ML pipelines.

Responsibilities

• Data handling, data processing and programming for analytics pipelines.
• Develop automated solutions for sourcing/loading entity data into databases.
• Analyse legal entity content to identify patterns and trends.
• Develop and improve quantitative models and machine learning solutions.
• Collaborate with cross-functional teams to address large-scale analytics problems.
• Develop POCs and visualizations to support product design and development.
• Work with development groups for deployment of analytics solutions and communicate insights.

Skills

Python

Power Apps

SQL

Scikit-learn

NumPy

pandas

Jupyter

R

Statistical analysis

Data storytelling

Education

Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification

Tools

Scikit-learn

NumPy

pandas

Jupyter

Power Apps

SQL

R

Job description

London Stock Exchange Group (LSEG) is seeking a Senior Associate to advance data science initiatives across finance-related analytics. You will build automated data-processing pipelines, develop models, and translate insights into actionable recommendations for technical and non-technical audiences.

You will collaborate with business, content and product teams to deliver large-scale analytics and dashboards while driving continuous improvement and leveraging Lean Project Management practices.