Risk Model Analytics Operations - Associate

MSCI Hong Kong Limited; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Transparent compensation schemes

Flexible working arrangements

Learning resources access

Career growth opportunities

Job summary

MSCI Hong Kong Limited is seeking a Senior Associate for Risk Model Analytics Operations within the Analytics Factor Model team. You will own QA checks on model outputs, automate QA tasks with SQL and Python, and drive improvements through AI and process optimization.

You will collaborate with Research, Model Engineering, and Data teams across global offices to ensure accurate, timely deliveries and robust operational practices in a data-intensive environment.

Qualifications

• Bachelor's degree in a quantitative field.
• Min 3 years in data operations, production support or similar.
• Experience with operational transformation, automation and AI adoption.
• Strong Python and SQL proficiency for data analysis and automation.
• Ability to manage production incidents end-to-end from triage to resolution.
• Understanding of data pipelines and model distribution workflows.

Responsibilities

• Own and execute structured QA checks on model outputs and data pipelines.
• Drive QA enhancements including anomaly detection and reduction of false positives.
• Build SQL scripts and Python notebooks to automate recurring QA tasks.
• Investigate data discrepancies with Model Engineering and Research.
• Leverage AI tools to enhance QA workflows and workflows automation.
• Oversee daily production for multi-asset class factor models and ensure timely runs.
• Manage incidents end-to-end and document post-incident learnings.
• Maintain runbooks, escalation procedures, and SOPs to reduce time-to-resolution.
• Oversee distribution of factor model data to internal/external clients.

Skills

Python

SQL

QA & data checks

Automation

AI adoption

Incident management

Data pipelines

Communication

Education

Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, Engineering

Tools

Python

SQL

Job description

About the role

MSCI's Analytics Factor Model team, part of the broader Production Shared Services (PSS) organization, is seeking a Senior Associate for Risk Model Analytics Operations. The team owns the daily production lifecycle of MSCI's multi-asset class (Equity, Fixed Income, etc) factor models and risk data — ensuring model outputs are accurate, timely, and operationally sound across monitoring, incident management, model distribution, and client delivery. This is a role for someone who doesn't just keep the factory running — you'll be constantly asking how to run it better, faster, and smarter through AI, automation, and process optimization. You will collaborate closely with Research, Model Engineering, and Data teams across global offices.

Key responsibilities

• Own and execute structured QA checks on model outputs and data pipelines — going beyond surface-level checks to understand root causes and data behavior

• Drive QA enhancements including anomaly detection, reduction of false positives, and identification of relevant QA rules that improve overall signal quality

• Build SQL scripts and Python notebooks to automate recurring QA tasks, reduce manual effort, and improve consistency

• Partner with Model Engineering and Research to deeply investigate data discrepancies — able to engage technically on complex model and data issues

• Leverage AI tools to enhance QA workflows — including automated anomaly flagging, pattern detection, and agentic AI workflows via MCP tooling

• Own daily production oversight for multi-asset class factor models — ensuring runs complete accurately and issues are caught before impacting downstream clients

• Manage incidents end-to-end — triage, root cause analysis, stakeholder communication, and post-incident documentation

• Maintain and improve runbooks, escalation procedures, and operational SOPs to reduce time-to-resolution and prevent recurrence

• Oversee timely and accurate distribution of factor model data to internal and external clients across multiple delivery channels

• Proactively identify and eliminate inefficiencies in production workflows — driving automation, process re-engineering, and smarter ways of working

About you

• Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field

• Minimum 3 years of relevant experience in data operations, production support, or a data-intensive financial services role

• Demonstrated experience in operational transformation — proactively identifying inefficiencies, optimizing workflows, and driving automation and AI adoption

• Strong proficiency in Python and SQL for data analysis, investigation, and workflow automation

• Demonstrated ability to manage and resolve production incidents end-to-end — from triage to root cause and resolution

• Solid understanding of data pipelines, model distribution workflows, and operational quality standards

• Demonstrated ability to use AI tools to enhance operational and analytical work

• Strong written and verbal communication skills in English — able to communicate clearly with both technical teams and client-facing stakeholders

• Ability to manage multiple priorities under time pressure in a globally distributed team environment

• Exposure to capital markets, risk analytics & models, or other financial data products (preferred)

About us

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

Benefits

• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing

• Flexible working arrangements, advanced technology, and collaborative workspaces

• A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results

• A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients

• Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development

• Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles

• An environment that builds a sense of inclusion, belonging and connection, including eight Employee Resource Groups