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Operations Review Audit Analyst

Operations Review Audit Analyst

JobotIrving, TX, US
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Job Description

Job Description

Operations Review Audit Analyst - Hybrid

This Jobot Job is hosted by : Melanie Courtney

Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume.

Salary : $60,000 - $65,000 per year

A bit about us :

Our client is a pioneer in online lending that has developed 14+ consumer finance brands in the US and UK and has served more than 4 million underserved consumers for over 20 years.

Why join us?

Great culture

Top Benefits

Growth opportunities

Job Details

Job Summary :

The Operations Review Audit Analyst will examine financial, operational, and strategic contact center issues and provide decision support through the development of advanced reporting tools. The Operations Review Audit Analyst will partner with our clients and vendor partners to improve operations efficiencies, improve customer experience, and reduce credit risk exposure and credit losses in consumer loan portfolios. Improvements are achieved through a combination of research analysis, monitoring key metrics, building new reporting tools and applications, incorporating data from multiple third-party vendors, developing effective collection strategies, utilizing champion-challenger strategy testing and collaborating with risk management.

Duties and Responsibilities :

  • Work closely with the loan operations leadership team in performing high-level operations analysis.
  • Develop performance reporting strategies based on improving customer experience and profitability.
  • Track patterns and outliers in customer contact traffic to look for ways to improve our services and products to reduce contacts.
  • Build repeatable or ad hoc queries and reports and work with Enterprise Information Management to automate reports for other users to run across the Enterprise population of report users.
  • Review, maintain, and create strategies for email and chat channels.
  • Create a collections / risk database and query tool to efficiently provide robust information to drive decisioning and strategies at various timeframe intervals.
  • Use statistical and query tools such as SAS or SQL, develop analyses, strategy, and performance reporting for collections and risk management.
  • Develop and leverage collections / risk management reporting to monitor current and emerging risk exposure and to analyze collections and strategy performance.
  • Present findings and make recommendations to the collections and risk management team.
  • Build collection strategies and utilize champion-challenger testing to determine the most optimal and cost -effective risk management strategies.
  • Review loan projections and delinquency volumes to forecast staff needed for collection vendor sites for both internal and contracted for clients.
  • Responsible for monthly debt sale process from start to finish.

Education and Experience :

  • Bachelor’s degree in business, computer science, mathematics preferred, or equivalent work – related experience in a fast- paced call center environment.
  • Minimum of 1-year previous experience in a Dialer Analyst role in a blended collection call center required.
  • Minimum of 1-year previous experience in a Collections environment required.
  • 2 years of previous experience in an inbound / outbound call center environment is preferred.
  • Previous financial industry experience is a plus.
  • Proficiency in Microsoft Office Suite, with expert level in Excel. Demonstrated ability to manipulate data within complex models and databases.
  • Strong SQL programming skills preferred.
  • Ability to work independently and take initiative, while multi-tasking.
  • Must have strong problem-solving and organization skills with strong attention to detail and the ability to manage multiple projects.
  • Excellent written and verbal communication skills.
  • Team player who will work efficiently and effectively in a fast-paced environment
  • Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

    Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

    Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

    Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com / legal.

    Company Description

    Jobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values.

    Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA).

    Ready to find a good job? Create your profile today at Jobot.com.

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