Data Discovery and Enrichment Expert II
About The Position
LexisNexis Risk Solutions is a key partner in risk assessment, offering solutions within its Business Services vertical to help businesses enhance revenue, optimize operations, and improve customer experience. These solutions address challenges in Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. The company is seeking a Data Discovery and Enrichment Expert to architect and maintain its governance infrastructure. This role involves designing and implementing policies and procedures to ensure internal teams adhere to Responsible AI standards throughout the product workflow. The expert will collaborate with product, engineering, operations, and data science teams to unify systems and infrastructure, promoting cross-functional collaboration and technical alignment. The position offers flexibility, allowing candidates to work either hybrid from one of the company's offices or remotely within the US.
Requirements
- Awareness of data science methods and techniques, though not necessarily in expert in their use.
- Knowledge of regulatory requirements and industry standards, especially FCRA, ECOA, GLB, EU-AI Act, GDPR.
- Ability to scale up to support other global regulations
- Excellent problem-solving, and decision-making skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with internal/external stakeholders including customers and regulators at all levels.
- Experience working with data scientists, customers and regulators
Nice To Haves
- A basic understanding of statistical modeling in banking and insurance.
Responsibilities
- Assist in the development and implementation of model risk policies and procedures.
- Enhance these functions.
- Help to ensure compliance with regulatory requirements and internal risk management standards and the RELX Responsible AI Principles.
- Collaborate with cross-functional teams, including data science, product, market planning, technology and legal and compliance.
- In partnership with cross-functional teams, help to co-design and implement a unified framework that provides clear, actionable guidance for model development, validation, and risk mitigation—embedding these standards naturally into the product lifecycle from initial ideation through to go-to-market delivery.
- Assist with the quarterly reviews and audits of models to identify and address potential risks.
- Stay current with industry trends, global regulatory changes, and best practices in model risk management.
Benefits
- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
- Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
