Garantire che tutti i prodotti e gli asset della Factory siano conformi ai requisiti di sicurezza (INFOSEC), compliance regolatoria (QRM, EU AI Act) e sovereign AI.
Compensation
Per la presente posizione è previsto un range retributivo compreso tra 35.000 e 50.000
Responsibilities
Gestire il processo di C1/C4 data assessment per i prodotti AI
Supervisionare la AI compliance (EU AI Act, GDPR, data sovereignty) dell'intero portfolio Factory
Coordinare i processi di QRM (independence compliance, SW reselling compliance, procurement compliance)
Garantire la conformità degli ambienti SOC e sovereign degli asset interni
Supportare gli engagement team nella certificazione e nell'adozione sicura dei prodotti AI
The role involves driving the end-to-end modernization of the ALM operating model — migrating manual, spreadsheet-intensive processes onto a cloud-powered, BI-driven platform anchored by QRM as the central calculation engine.
Responsibilities
Lead the migration of complex Excel-based ALM calculations into QRM, including NII simulation, EVE sensitivity, gap analysis, and liquidity stress testing.
Own the implementation of the QRM Publish to MR functionality — designing the data flow from QRM outputs back to input transactional data to create a structured, governed time-series dataset on cloud.
Explore and deploy QRM's attribution walk modules for NII and EVE, enabling waterfall analysis from base to target positions for senior management reporting.
Manage the end-to-end QRM environment including scenario libraries, behavioural model inputs, repricing terms, and rate assumptions — ensuring all inputs are sourced from the single unified data layer.
Partner with Data and IT functions to design and execute the migration of QRM time-series outputs to cloud storage.
Requirements
Bachelor’s degree in finance, Economics, Mathematics, Engineering, or a related quantitative field
This senior level position supports the modeling of the Truist balance sheet with minimal supervision. The analyst will have extensive knowledge of Investments, loan products, deposits, long term debt products, and derivatives.
Responsibilities
Understanding how products are modeled in QRM in order to make improvements and add new products or techniques as necessary.
Analyzing risk exposures for products in different interest rate and stress testing environments.
Support monitoring and tracking of Investment and loan portfolios, deposit portfolios and long term debt overall as well as focus on understanding the specific attributes of these products.
Contribute towards analysis of key assumption sensitivities relevant to these products.
Perform analytical review of the products and understand key measures/drivers of interest rate risk.
Requirements
BS/BA degree or higher in Finance, Accounting, Statistics, Economics, Business
Supports the delivery of data, analysis, and solution activities tied to Treasury’s fiscal 2027 liquidity regulatory reporting initiatives. Works with partners across Treasury, Finance, Risk, and Technology to define requirements, investigate data issues, and support control processes.
Responsibilities
Analyze liquidity data, investigate issues, and support the delivery of accurate, well-controlled data and reporting solutions for fiscal 2027 regulatory initiatives.
Partner with business and technology teams to document business requirements, data needs, process gaps, and solution considerations that support Treasury liquidity objectives.
Contribute to data governance, data quality monitoring, and control activities by identifying issues, tracking remediation items, and supporting sustainable improvements.
Support project execution by monitoring tasks, preparing materials, following up on actions, and helping maintain momentum across cross-functional stakeholders and deliverables.
Prepare analysis, documentation, and materials to support internal reviews, regulatory requirements, and audit-related requests in a clear and organized way.
Senior executive overseeing enterprise risk management across all risk domains for a credit union corporate.
Compensation
Catalyst Corporate’s compensation structure offers market-competitive base pay.
Responsibilities
Lead enterprise risk management strategy and execution
Coordinate with NCUA and internal stakeholders
Direct risk assessment and mitigation across cybersecurity, operational, strategic, interest rate, investment credit, liquidity, and compliance/legal risk
Manage risk departments and reporting
Ensure compliance with regulatory requirements
Requirements
Master’s Degree (MS, MBA, etc.) or equivalent
Nice to have: 15-20 years of experience in risk management
Nice to have: PhD in risk, finance, mathematics or statistics
Nice to have: CFA designation
Nice to have: Prior experience with statistics packages
Leads analytics processes across multiple functions within the Finance organization, focusing on capital planning, stress testing (CCAR/DFAST), and Pre-Provision Net Revenue (PPNR) projections.
Responsibilities
Own assigned components of the PPNR forecast end to end, collaborating closely with key internal partners to deliver accurate, timely, and well-documented results
Contribute to the implementation of PNC’s cash flow engine (QRM); connect transaction-level source data, econometric and behavioral models
Develop the ‘story’ behind each forecast, supported by LOB, industry, peer, and macroeconomic trends
Prepare materials and help present the forecast and material risks to senior management
Address executive and regulator feedback with detailed analyses to assess the impact of new business activity
This position will work within the ALM Strategy Group at ALM First to assist in producing and maintaining Capital Planning and Stress Testing (CPST) and Liquidity Stress Testing (LST) for institutional depository clients.
Responsibilities
Load and maintain client balance sheet, deposits, funding, and liquid assets while ensuring data integrity at both the level of the instrument and the balance sheet.
Communicate effectively and proactively with financial analysts and financial advisors to ensure stress scenarios are appropriately specified, documented, and modeled to meet the needs of each client.
Identify and document data, system, and modeling issues, communicating findings clearly and consolidating technical requirements into actionable development items.
Execute and process analytics — including liquidity stress testing, contingency funding plan support, and monitoring of liquidity coverage and reliance metrics.
Maintain high standard of efficiency regarding workflow performance as reporting volume varies over the quarter
Requirements
Bachelor’s degree and strong academic record with a concentration in finance, economics, mathematics, or other related quantitative/analytical discipline
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