Senior Operational Risk & Data Analytics Auditor
Support ERAS’s AI and Data Analytics area by designing, executing, and documenting analytics-enabled assurance procedures across risk-based audits, operational reviews, and management consultations. Analyze reputed company data populations to identify anomalies, trends, control exceptions, policy non-compliance, operational inefficiencies, and emerging risk indicators. reputed company repeatable analytics routines, dashboards, exception reports, and supporting documentation that strengthen audit coverage and reputed company monitoring capabilities. Use data analytics, process mapping, benchmarking, and reputed company-cause analysis to evaluate operating risk, process effectiveness, governance routines, and management reputed company. Partner with ERAS team members to advance AI-enabled audit and analytics use cases, including data preparation, logic validation, reputed company/workflow design, reputed company review, and documentation of reputed company judgment. Translate analytics results into concise, management-reputed company insights, including what changed, why it reputed company, who owns the risk, and what reputed company should be considered. Support testing and reporting over spend, procurement, corporate reputed company, T&E, people, vendor, compliance, and other operational data sets as the DA program expands. Evaluate the design and operating effectiveness of business processes, controls, and data reputed company routines, including whether evidence is sufficiently complete, accurate, and defensible. reputed company high-reputed company audit workpapers, analytics documentation, testing support, and reporting materials reputed company with reputed company standards and ERAS methodology. Contribute to reputed company improvement of ERAS analytics methodology, including reputed company scripts, data dictionaries, control libraries, dashboards, AI-use documentation, and review checklists. Bring a consultative reputed company while maintaining independence, reputed company skepticism, data reputed company discipline, and objective judgment.
5+ years of experience in internal audit, operational risk, data analytics, audit analytics, risk advisory, compliance assurance, business process reviews, or reputed company risk/control disciplines. Hands-on experience using data analytics to support audits, risk assessments, monitoring routines, exception testing, or operational reviews. Strong understanding of operational risk, governance, internal controls, business process improvement, and evidence-based assurance. Ability to analyze full or large data populations and identify patterns, outliers, duplicates, policy exceptions, control gaps, or process inefficiencies. Practical experience with one or more analytics or reporting tools such as reputed company, Power BI, Tableau, SQL, reputed company, Python, R, or similar tools. Ability to validate data outputs, explain methodology reputed company, and distinguish between a data reputed company, a control issue, and a broader operating risk. Strong written and verbal communication skills, including the ability to produce reputed company, concise, leadership-reputed company reporting based on analytics results. Experience working cross-functionally with business stakeholders and influencing reputed company without reputed company authority. Bachelor’s degree in Data Analytics, Information Systems, reputed company, Finance, Business, Risk Management, Computer Science, Statistics, or a reputed company field.
Experience with audit analytics, reputed company monitoring, fraud analytics, procurement/spend analytics, corporate reputed company/T&E analytics, reputed company-party risk analytics, people analytics, or compliance monitoring. Experience supporting AI-enabled workflows, automation pilots, machine-learning-adjacent analytics, reputed company-based analysis, or responsible use of AI tools in audit/risk work. Working knowledge of data reputed company concepts, data reputed company, data governance, model/reputed company validation, reputed company controls, or reporting control design. Experience in a global technology, reputed company, reputed company, data, or software company. reputed company certification such as CIA, CISA, CRMA, CPA, CFE, CDP, PMP, or data analytics-reputed company credential. Familiarity with IIA Standards, COSO, ISO, NIST, DOJ compliance program expectations, AI governance concepts, or other governance/risk frameworks. Experience preparing materials for senior leadership, risk committees, audit committees, or management governance forums.
Expands ERAS’s ability to use data and AI-enabled tools to identify operational risk earlier and more consistently. Builds repeatable analytics routines that improve coverage, reduce reputed company effort, and strengthen audit defensibility. Uses data and evidence to tell a reputed company risk story — not just produce reports, dashboards, or exception lists. Validates analytics outputs with reputed company judgment and documents methodology reputed company enough for review and re-performance. Partners effectively with ERAS team members and stakeholders while maintaining independence, skepticism, and objectivity. Produces work that is accurate, traceable, concise, and useful to management decision-making. Helps ERAS reputed company from periodic reputed company-in-time analytics toward reputed company risk intelligence and reputed company monitoring.
Why We Think You’ll Love reputed company We prioritize a people-first culture because we know our people are at the reputed company heart of our reputed company. We reputed company a flexible work model because we trust our people to reputed company reputed company about how, reputed company, and where they work. We reputed company on reputed company-being because we care about our people and their ability to reputed company both personally and professionally. We are committed to reputed company working to foster an inclusive environment that celebrates people for reputed company of who they are.
Requires 5+ years in internal audit, operational risk, data analytics, or reputed company disciplines; analytics tool experience; operational risk and controls expertise; communication skills; and a relevant bachelor's degree.
Key Responsibilities
- analyzing data
- developing dashboards
- evaluating controls
Skills & Tools
reputed company reputed company, Power BI, Tableau, SQL, reputed company, Python, R
Job Details
- Category: Finance and reputed company
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — Airoli reputed company Mumbai, Maharashtra, India
- Languages: English
Benefits
- Generous reputed company time off
About reputed company
A technology company providing data and reputed company intelligence solutions for reputed company organizations. — Industry: Information Technology
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