Operational Risk Analytics Professional

1 week ago


Taguig, National Capital Region, Philippines beBeeRisk Full time $1,200,000 - $1,600,000
Job Opportunity

As a Manager of Operational Risk Reduction and Analytics, you will play a pivotal role in driving business growth by fostering a culture of risk awareness and proactivity around regulatory matters.

Key Responsibilities:
  • Support cross-functional initiatives by collaborating with risk and data teams to design and enhance analytics that improve the identification and management of operational risks.
  • Execute advanced risk analytics, developing and applying statistical models, data-driven tools, and methodologies to quantify and monitor operational risks, and provide actionable insights on risk trends and potential organizational impacts.
  • Design and deliver data solutions, including metrics, dashboards, and visualization tools, leveraging strong data modeling, ETL, and business intelligence skills to enable risk monitoring and reporting.
  • Collaborate with technology, data, and business intelligence teams to ensure integration of analytics solutions with enterprise platforms, participating in testing, implementation, and end-user support.

Requirements:

  • 7+ years of experience in analytics, data science, or risk quantification, with hands-on expertise in statistical modeling and advanced analytics.
  • Experience working on large-scale data projects, with practical exposure to Big Data platforms such as BigQuery, Databricks, or Snowflake.
  • Proficiency in SQL, Python, and related tools for querying, processing, and transforming complex datasets.
  • Strong understanding of data warehousing concepts, including relational and dimensional modeling.
  • Demonstrated experience in ETL development, metric design, and data transformation best practices.
  • Proficiency with business intelligence tools (e.g., Tableau, Power BI, ThoughtSpot, Alteryx, Cognos).
  • Background in operational risk, internal audit, or control management, with familiarity in risk frameworks and data-driven risk management practices.
  • Strong communication skills, with the ability to present technical findings clearly to both technical and non-technical stakeholders.
  • Experience contributing to or mentoring within a team environment.


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