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Hourly Vendor Risk Analyst Jobs in Delaware (NOW HIRING)

Drive adoption of advanced analytics and reporting tools to enhance risk identification, monitoring ... Experience with segmentation strategy, vendor management, and regulatory exam support. Value ...

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Hourly Vendor Risk Analyst information

What is the difference between Hourly Vendor Risk Analyst vs Contract Vendor Risk Analyst?

AspectHourly Vendor Risk AnalystContract Vendor Risk Analyst
CredentialsRelevant certifications (e.g., CRISC, CISA), risk management experienceSame as Hourly Vendor Risk Analyst, often with additional contractual knowledge
Work EnvironmentTypically in financial, healthcare, or corporate settings, part-time or project-basedSimilar environments, often on a temporary or project basis
Employer UsageUsed by companies needing ongoing risk assessment on an hourly basisEngaged for specific projects or contractual risk evaluations

The main difference lies in employment arrangement: Hourly Vendor Risk Analysts work on an hourly basis, often with ongoing responsibilities, while Contract Vendor Risk Analysts are hired for specific projects or timeframes. Both roles require similar skills and certifications, but their engagement types differ.

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The most popular types of Vendor Risk Analyst jobs in Delaware are:

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For Hourly Vendor Risk Analyst jobs in Delaware, the most frequently searched job titles are:

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The top searched job categories for Hourly Vendor Risk Analyst jobs in Delaware are:

What cities in Delaware are hiring for Hourly Vendor Risk Analyst jobs?

Cities in Delaware with the most Hourly Vendor Risk Analyst job openings:

Senior Quant Analytics Associate - Fraud Risk

JP Morgan Chase

Wilmington, DE • Hybrid

Full-time

Medical, Retirement

Re-posted 14 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

We are looking for a highly skilled and experienced Analyst to join our Point-of-Sale Fraud Risk Analytics & Intelligent Reporting team. In this role, you will focus on developing analytical insights into the strategies employed by our risk partners to identify and mitigate fraud. You will be responsible for creating, automating, and deploying intelligent solutions that address the reporting and analytical needs of the business line. Additionally, you will ensure that compliance and control requirements are met, providing timely and reliable information to the appropriate audience.

As a Quantitative Analytics Associate Senior in the Point-of-Sale Fraud Risk Analytics & Intelligence team, you will play a pivotal role in identifying and anticipating new and emerging risks and trends. You will collaborate with key stakeholders to assess risk factors and apply your expert judgment to address challenges that affect our company, customers, and communities. Our culture in the Risk Management and Fraud Center of Excellence emphasizes innovative thinking, challenging the status quo, and striving to be best-in-class.

Job Responsibilities

  • Analyze large volumes of complex data to formulate problem statements and draw concise conclusions about underlying risk dynamics, trends, and opportunities.
  • Identify and develop key risk indicators and metrics, enhance existing reporting mechanisms, and explore new analytical areas to improve fraud detection.
  • Work closely with cross-functional partners to understand and address key business challenges.
  • Exhibit exceptional communication skills, both written and verbal, to effectively communicate with diverse audiences, including senior leadership.
  • Demonstrate the ability to work independently, taking ownership of problem-solving from start to finish.
  • Collaborate with Product Risk managers and other stakeholders to support the development and monitoring of new strategies and products.

Required Qualifications, Capabilities and Skills

  • 5+ years experience in analytics, business intelligence, business analysis, strategy & analytics, or a related role.
  • Strong SQL skills and experience working with large datasets, including the ability to validate results and troubleshoot data issues.
  • Strong financial analytical skills with the ability to extract business insights from complex data structures.
  • Experience building dashboards and recurring reports, and communicating insights to non-technical stakeholders.
  • Demonstrated project management skills-able to manage timelines, dependencies, and stakeholder communications across multiple workstreams.
  • Ability to work in a fast-paced environment and flexibly adapt to change, with excellent analytical storytelling skills.
  • Strong written and verbal communication skills; able to turn ambiguous questions into structured problem statements and requirements.
  • High attention to detail and comfort operating in a controlled environment with data governance and privacy expectations.

Preferred Qualification, Capabilities and Skills

  • 3+ years of hands-on experience in Financial Data analytics 
  • Python programming skills
  • Familiarity with data mining and other advanced analytics techniques

This role is not eligible for visa sponsorship.  This role is 5 days a week full time in office.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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