AVP, Automated Controls

Fortitude Re•Jersey City, NJ

17h

About The Position

Fortitude Reinsurance Company Ltd. (Fortitude Re) is one of the world’s leading providers of legacy reinsurance solutions. They work with the world’s leading insurance companies to help them execute comprehensive, transformational solutions for legacy Life & Annuity and P&C lines. Fortitude Re manages a general account of approximately $111 billion across life, annuity, and property & casualty insurance products. The company takes a long-term view on growth and is proud to be backed by a consortium of sophisticated institutional investors led by The Carlyle Group and T&D Insurance Group. Incorporated under the laws of Bermuda on January 1, 2017, Fortitude Re’s roots in the insurance industry and the experience of their leadership go back many decades. Fortitude Re’s leadership team has an average industry tenure of over 20 years, and an impressive track record of successfully managing the most complex legacy liabilities. Their deep insurance experience and proprietary risk modeling capabilities allow them to structure bespoke transactions that benefit both insurance companies and their policyholders. Fortitude Re continues to strengthen its ability to pursue further growth and provide innovative solutions for the global insurance industry. The AVP, Automated Controls leads the design and delivery of automated internal controls embedded directly into business processes and technology workflows to improve efficiency, reduce manual effort, and strengthen control effectiveness across priority operations and platforms. This role partners with Finance, Risk, Compliance, Internal Audit, Information Security and Technology to translate internal financial controls, data governance, information technology general controls (ITGCs), operational risk controls, cybersecurity controls, and emerging AI / model governance controls and support sustainable adoption.

Requirements

Bachelor’s degree in Finance, Accounting, Information Systems, Computer Science, Risk Management, or a related field.
7+ years of relevant experience in risk, controls, internal audit, technology risk, or related functions, preferably within (re)insurance, insurance, or financial services.
Demonstrated experience designing and implementing automated controls integrated into business processes and technology platforms (e.g., ERPs, policy/claims systems, data platforms).
Demonstrated ability to lead complex, cross-functional initiatives end-to-end (design through implementation and adoption), influencing senior stakeholders across Finance, Risk, Compliance, Internal Audit, and Technology.
Strong knowledge of: Internal financial controls and ICFR concepts.
IT General Controls (access, change management, operations).
Operational risk frameworks and process control design.
Cybersecurity and information security principles.
Familiarity with data platforms, ETL/ELT processes, and analytics / BI tools (e.g., data warehouses, data lakes, visualization tools).
Experience implementing automated controls within Palantir Foundry or comparable platforms (Databricks, Snowflake, Collibra, cloud-native data stacks).
Knowledge of zero-trust principles and automated enforcement within IAM and cloud-native environments.
Ability to work in an environment of significant change and ambiguity, with proven success influencing cross-functional stakeholders.

Nice To Haves

Professional certifications such as CPA, CA, CIA, CISA, CRISC, CISSP, CISM, or similar.
Experience in a reinsurance or specialty insurance company, particularly with underwriting, pricing, reinsurance settlements, or actuarial data and processes.
Exposure to AI/ML, advanced analytics, or model risk management and associated control frameworks.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and associated security and control frameworks.

Responsibilities

Lead automated controls, design and delivery
Own the design and implementation of automated controls embedded directly into investment, underwriting, settlements, finance and data workflows.
Own the control execution and operation through the development life cycle and identify clear accountability for control ownership and execution once in production, including transition of ownership/execution to accountable team.
Translate financial, operational, IT, cyber, data governance and AI risk requirements into automated and other controls embedded in investment, underwriting, settlements, finance, and data workflows.
Identify risks associated with business processes and recommend, design and document controls to address those risks.
Simplify and standardize control processes so that controls are “built-in” rather than added on.
Embed controls into the data & analytics platform
Work with data, technology, and architecture teams to build controls into data pipelines (data quality checks, reconciliations, lineage, access control, etc.)
Establish and implement continuous monitoring, dashboards, and alerts for key controls and risk indicators.
Ensure data controls evolve alongside changes to data architecture, pipeline, and downstream consumption.
Internal financial and IT general controls
Design, build and maintain automated internal financial controls over settlements, reserving, and financial reporting, ensuring controls execute reliably and produce auditable evidence.
Work with IT to review/confirm appropriate ITGCs (access, change management, operations) for key applications and the new platform, supporting ICFR where applicable.
Establish a process and accountability for maintaining control documentation, evidence, and issue tracking as part of data-to-day operations.
Enhance operational risk and cybersecurity controls
Work with IT to review/confirm embedded automated controls have been established to manage operational and technology risks including process failures, data loss, unauthorized access, and system misuse.
Establish clear accountability and execution of controls.
Partner with Information Security to ensure robust IAM, logging, monitoring, and incident detection within critical processes.
Build AI / model governance controls
Support governance of AI/machine learning and analytics models, including controls over data sourcing, versioning, approvals, performance monitoring, and model changes.
Assist integrating controls into the AI and model governance framework aligned with risk and regulatory expectations and clear accountability.
Drive transformation and change adoption
Serve as a control lead on transformation initiatives, ensuring controls are considered from design through implementation.
Establish and maintain operating model for automated controls, including ownership, lifecycle management, evidence, exceptions and remediation.
Drive adoption of automation-first, controls-by-design practices through hands-on engagement, workshops and training with business and technology teams.
Monitor, remediate and continuously improve control operations
Establish continuous control monitoring and follow up on issues and remediation to manage risk and control performance in real time.
Investigate control exceptions, coordinate remediation and ensure sustainable fixes are implemented.
Develop metrics and dashboards to assess control coverage, reliability, and efficiency, and continuously identify opportunities to further automate, rationalize and simplify controls.
Provide transparent control evidence and performance reporting to business, Risk, Compliance and Internal Audit as downstream stakeholders.