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LexisNexis (RELX)
LexisNexis (RELX)

Provides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.

Data Discovery and Enrichment Expert II

职能数据工程
级别中级
地点Alpharetta, Gabon, United States
方式现场办公
类型全职
发布1周前
立即申请

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About the Role

We are seeking a Data Discovery and Enrichment Expert to help architect and maintain our governance infrastructure. In this role, you will help to design and implement the policies and procedures that ensure our internal teams remain aligned with Responsible AI standards across the product workflow. You will partner directly with product, engineering, operations, and data science teams to unify our systems and infrastructure, fostering seamless cross-functional collaboration and technical alignment.

Candidate can be hybrid from one of our offices or remote in the US.

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.

Requirements

Preferred Qualifications:

  • 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.

  • While Data Science Expertise isn’t required, a basic understanding of statistical modeling in banking and insurance is a plus,.

  • Experience working with data scientists, customers and regulators

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

- 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.

U.S. National Base Pay Range: $71,600 - $119,400. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click[here

](https: //www.relx.com/careers/join-us/benefits)to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams[here

](https: //nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstories.relx.com%2Fhow-to-avoid-job-scams%2Findex.html&data=05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169036749%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=bMcV1zP1yRXUuNWYwyGuPPb7lCyTuoA%2BGPT0d5MfO8I%3D&reserved=0).

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

**USA Job Seekers:

EEO Know Your Rights.

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关于LexisNexis (RELX)

LexisNexis (RELX)

Provides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.

10,001+

员工数

Alpharetta

总部位置

$41.2B

企业估值

评价

10条评价

4.0

10条评价

工作生活平衡

4.2

薪酬

2.8

企业文化

4.1

职业发展

2.9

管理层

3.2

72%

推荐率

优点

Great work-life balance and flexibility

Supportive and inclusive environment

Excellent benefits and health plans

缺点

Compensation and salary not competitive

Limited career advancement opportunities

Management communication issues

薪资范围

66个数据点

Junior/L3

Mid/L4

Junior/L3 · Data Analyst I

2份报告

$72,700

年薪总额

基本工资

$63,221

股票

-

奖金

-

$72,700

$72,700

面试评价

5条评价

难度

3.0

/ 5

时长

14-28周

体验

正面 0%

中性 80%

负面 20%

面试流程

1

Application Review

2

HR Screen

3

Technical Interview

4

Background Check

5

Offer

常见问题

Technical Knowledge

Past Experience

Behavioral/STAR

Data Analysis