Client Intelligence Analyst - AI-Driven Analytics (Hybrid)

HSBC; New York (NY); Hybrid; USD 85,000 - 120,000; Full time

Job summary

HSBC in New York is seeking an Associate, Client Intelligence to deliver analytics that transform internal client data and integrate external datasets. You will own analytics workstreams end-to-end, partnering with stakeholders to identify growth opportunities and optimize client value for investment decisions.

You will use approved AI tools and maintain governance, while collaborating with teams to implement outputs into business routines and drive insights for leadership.

Qualifications

• Bachelor's degree required; Master's preferred in a quantitative field.
• Strong analytics/data science experience in financial services or commercial analytics.
• Working knowledge of Python and SQL; experience with modelling techniques.
• Familiarity with big data and cloud environments; visualization tools.
• Ability to code responsibly and communicate findings clearly to non-technical audiences.

Responsibilities

• Analytics Delivery: extract, clean, and join datasets; build and deploy models.
• Insight Generation: translate analysis into clear recommendations and actions.
• Stakeholder Partnership: work with coverage, product, and servicing teams.
• Data & Quality Management: access data, improve quality, document assumptions.
• Operational Excellence: maintain documentation and reusable code; monitor models.
• Collaboration & Coaching: support peers with knowledge sharing.

Skills

Python

SQL

Analytics

Data storytelling

Visualization

Education

Bachelor's degree

Master's degree preferred

Tools

Power BI

Tableau

Spark/Hadoop

AWS/Azure/GCP

Job description

HSBC in New York is seeking an Associate, Client Intelligence to deliver analytics that transform internal client data and integrate external datasets. You will own analytics workstreams end-to-end, partnering with stakeholders to identify growth opportunities and optimize client value for investment decisions.

You will use approved AI tools and maintain governance, while collaborating with teams to implement outputs into business routines and drive insights for leadership.