ING Group is a global banking and financial services company whose millions of customers, from individuals to corporations, use the organization’s full range
Director, Integrated Risk
Location
New York
Posted
69 days ago
Salary
$216K - $273K / year
Seniority
Lead
Job Description
Director, Integrated Risk
ING Group
Director, Integrated Risk Location: New York United States Job Description: Risk | Integrated Risk Americas | Director, Integrated Risk | New York About ING: In Americas, ING's Wholesale Banking division offers a broad range of innovative financial products and services to domestic and international corporate and institutional clients. When you come to work at ING, you're joining a team where individuality isn't just accepted, it's encouraged. We've built a culture that's fun, friendly and supportive - it's the kind of place where you can be yourself and make the most of whatever you have to offer. We give people the freedom to take risks, think differently, take ownership of their work, and make great things happen. We're here to help you get ahead. And with our global network, there's plenty of scope to take your career in new directions, perhaps even ones you've never considered. ING Americas follows a hybrid work model, allowing for in-office / work from home flexibility. Hybrid work arrangements vary based on business area. Sound like the kind of place you'd feel at home? We'd love to hear from you. About the position: ING New York is looking to hire a Director of Integrated Risk in the US that is sufficiently experienced to navigate a broad range of enterprise level responsibilities including representing the IRM function across a range of stakeholder engagements as needed. The Director should exhibit specialized knowledge of enterprise risk including Risk Appetite, Risk Identification and Stress Testing. The position reports into the Head of Integrated Risk; in office attendance of 2 days per week minimum is required. About the department: Integrated Risk Americas will be based in New York City and will have central ownership on bank-wide risk topics that are not exclusively related to one risk type. The department will be responsible for promoting enterprise risk management through governance and policy structures that fully support ING's financial, non-financial, and strategic risk activities. Integrated Risk Americas will also be responsible for the independent assessment of enterprise risks for the Americas, Recovery & Resolution Planning, reporting and analytics for the Risk Appetite Framework, and supporting global ICAAP Stress Testing. Responsibilities: - Collaborate with the Head of IRM to implement and continuously evolve the strategic vision for the function including the refinement of policies, frameworks, and methodologies in alignment with global Risk teams. - Implement, and refine ERM frameworks, policies, procedures, and governance structures aligned with regulatory guidelines. - Execute the local risk identification & risk assessment process, as the starting point for the local Risk Appetite Framework. - Help establish Key Risk Indicators (KRIs) and risk appetite statements, to enhance risk transparency and accountability. Provide support for the periodic updates to senior management across risk types, individually and in the aggregate. - Contribute to the creation and management of the Enterprise Risk Management Policy and Program, standards, and procedures. - Foster a risk-aware culture by developing risk training programs, tools, and awareness initiatives across the Americas as needed. - Design and maintain the overarching local Risk governance structure and provide advice to local and global approval bodies for approval of local policies and/or waivers for US requirements. - Support enterprise stress testing capabilities across key portfolios. Monitor emerging risks, regulatory changes, and industry trends to proactively adapt risk management strategies. - Coordination of the local Recovery & Resolution Planning in alignment with both local and global regulations and approach. This includes the local contribution to ING's Recovery Plan, including monitoring and potential activation of local crisis management plans, and supporting local resolution planning activities, including implementing resolution requirements locally and supporting resolvability data requests. - Participate in, and prepare for, regulatory examinations and internal audits and assist in preparing responses to exams and audits. Qualifications and Competencies - Prior enterprise risk management experience and subject matter expert in risk appetite - 10+ years of knowledge of risk management and financial products, Credit risk experience is helpful. - Master's degree or equivalent preferably in Finance, Economics, Quantitative Finance - Strong (data) analytical and quantitative skills (the breakdown of complex issues in manageable pieces) - Able to manage different stakeholders and navigate different cultural environments - Working with presentations, the ability to present complex content in an easy and transparent way - Logical and well-reasoned level of thinking - Ability to synthesize information with a strategic view to assess risks and develop recommendations - Well structured, autonomous, highly adaptive, flexible team player - Thrive while working in a fast-paced, dynamic environment - Excellent communication skills and fluent in English (both verbal and in writing) - Maintain strong relationships with internal stakeholders - Propagates ING views and opinions on issues relevant to field of expertise, also outside the ING organization Salary Range: $216,000-273,000 In addition to comprehensive health benefits, a generous 401k savings plan, and competitive PTO, ING provides a broad array of benefits including adoption, surrogacy, and fertility services; student debt assistance; and subsidies for expenses associated with commuting and fitness. ING is a committed equal opportunity employer. We welcome applicants of diverse backgrounds and hire without regard to race, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law. We celebrate these differences and rely upon your unique perspective to innovate and seize new opportunities. Come as you are. ING Bank does not have a commercial banking license in the U.S. and therefore not permitted to conduct a commercial banking business in the U.S. Through its wholly owned subsidiary ING Financial Services LLC, and its affiliates, it offers a full array of wholesale products such as commercial lending and a full range of FM products and services.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Senior Data Engineer
Globaldev GroupBuilding remote teams and providing software development solutions for tech businesses 🇺🇸🇮🇱🇩🇪🇺🇦🇵🇹🇵🇱
We are looking for a seasoned Data Engineer to join our growing team. Requirements - 4+ years of experience in Data Engineering. - Proven experience building and optimizing scalable ETL/data pipelines, preferably on Azure Databricks - Experience with Azure Data Factory, Databricks, and PySpark - Solid experience integrating multiple data sources into data lakehouse / data warehouse architectures - Strong SQL skills, including designing data models and SQL Warehouse views - Experience translating business requirements into scalable and reliable data solutions/products - Experience working with cloud-based data platforms (preferably Azure) - Strong problem-solving skills with the ability to troubleshoot and optimize data pipelines - Understanding of data quality, performance optimization, and reliability best practices - Experience working in cross-functional teams and delivering data solutions in a timely manner Responsibilities - Design, build, and optimize scalable ETL/data pipelines on Azure Databricks - Automate data workflows using Azure Data Factory, Databricks, PySpark, and related Azure services - Integrate diverse data sources into data lakehouse and data warehouse solutions to enable advanced analytics - Design SQL Warehouse views and data models for downstream consumption and analytics use cases - Translate complex business requirements into scalable, reliable data products - Enhance, troubleshoot, and maintain cloud‑based data pipelines to ensure performance, reliability, and data quality - Collaborate with cross‑functional teams and contribute to timely delivery of data solutions What we offer - Flexible work arrangements. - 20 working days per year as Non-Operational Allowance for personal recreation, fully compensated. - Collaborative and supportive team culture. - Truly competitive salary. - Supportive HR and management team.
Senior Data Engineer
Globaldev GroupBuilding remote teams and providing software development solutions for tech businesses 🇺🇸🇮🇱🇩🇪🇺🇦🇵🇹🇵🇱
We are looking for a seasoned Data Engineer to join our growing team. Requirements - 4+ years of experience in Data Engineering. - Proven experience building and optimizing scalable ETL/data pipelines, preferably on Azure Databricks - Experience with Azure Data Factory, Databricks, and PySpark - Solid experience integrating multiple data sources into data lakehouse / data warehouse architectures - Strong SQL skills, including designing data models and SQL Warehouse views - Experience translating business requirements into scalable and reliable data solutions/products - Experience working with cloud-based data platforms (preferably Azure) - Strong problem-solving skills with the ability to troubleshoot and optimize data pipelines - Understanding of data quality, performance optimization, and reliability best practices - Experience working in cross-functional teams and delivering data solutions in a timely manner Responsibilities - Design, build, and optimize scalable ETL/data pipelines on Azure Databricks - Automate data workflows using Azure Data Factory, Databricks, PySpark, and related Azure services - Integrate diverse data sources into data lakehouse and data warehouse solutions to enable advanced analytics - Design SQL Warehouse views and data models for downstream consumption and analytics use cases - Translate complex business requirements into scalable, reliable data products - Enhance, troubleshoot, and maintain cloud‑based data pipelines to ensure performance, reliability, and data quality - Collaborate with cross‑functional teams and contribute to timely delivery of data solutions What we offer - Flexible work arrangements. - 20 working days per year as Non-Operational Allowance for personal recreation, fully compensated. - Collaborative and supportive team culture. - Truly competitive salary. - Supportive HR and management team.
• You’ll be joining our pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. • You will help build, publish, and maintain our complex data products and pipelines, key elements that have a significant impact on the company’s growth. • Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. • Leading the way in data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable. • Build reusable technology that enables teams to ingest, store, transform, and serve their own data products. • Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure. • Embrace continuous learning and experimentation to stay updated on emerging technologies, from testing open source tools to engaging in community-building activities like Meetups. Your passion for staying at the forefront of the field will drive your journey.
• Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. • Leading the way in data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable. • Build reusable technology that enables teams to ingest, store, transform, and serve their own data products. • Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure. • Embrace continuous learning and experimentation to stay updated on emerging technologies, from testing open source tools to engaging in community-building activities like Meetups. Your passion for staying at the forefront of the field will drive your journey.


