Role overview

Qualifications

Bachelor’s degree in a quantitative field (statistics, math, computer sciences, engineering, economics)
4+ years of experience in Financial/Credit analysis
2+ years of experience with SQL/Snowflake, Excel/Tableau/PowerPoint, SAS/Python/R
Experience with predictive model development, monitoring, or validation

Responsibilities

Gather and analyze company data to provide insights surrounding portfolio performance
Monitor and evaluate key performance metrics across portfolios and make recommendations
Design appropriate analytical approach to address complex business problems
Communicate recommendations and results to key stakeholders

Key facts

Remote from: Ohio (USA)
Full time
Senior (5-10 years)
Quantitative Analyst
English

Hard skills

SQL (Programming Language) Python (Programming Language) Base SAS Tableau (Business Intelligence Software) Predictive Modeling Credit Analysis

Other skills

Microsoft Excel
Microsoft PowerPoint
Critical Thinking
Problem Solving
Detail Oriented

About the company

CNG Holdings, Inc.

Financial Services

CNG Holdings Inc. (CNG) is headquartered in Cincinnati, Ohio, and is a respected leader in the financial services industry. Through professional partnerships, CNG provides a wide range of convenient and accessible financial products and services designed to improve customers’ financial situations, thereby filling a need and delivering value to our customers. Our mission is to help and educate our customers while building and nurturing long-term relationships. We strive to make a difference in our customers’ lives and the communities we serve. Our vision is to deliver innovative financial solutions that better fulfill our customers’ unique financial needs so that they can build a better future for themselves and their families. CNG Holdings Inc. core values ultimately define how we treat our customers and each other. We are: • Inclusive: We are committed to creating environments that make all people feel welcomed, supported and valued; giving people the respect that is due them; being human and recognizing the humanity in others. • Accountable: We do what we say we’re going to do. We take ownership for the quality of our individual work but also take pride in what we deliver as a team. We operate with honesty and integrity. • Transparent: Share information. Share mistakes. Share victories. Trust is built through transparency. • Focused: Work with a sense of urgency on the critical few. Everyone is responsible to own their focus area, so we deliver on the collective results through flowless execution. We’re empowered to make decisions which benefit the health of the company. We demonstrate our commitment to being customer-centric by placing our customer at the center of all our communications, not ourselves.

Company details

Company typeLarge

IndustryFinancial Services

Company size1001 - 5000

Links

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Job description

Job Description:

General Function / Summary:

The Senior Analytics Analyst is accountable for complex analysis and recommendations within the Credit Risk organization and will work cross functionally to assist in the development and deployment of new products and strategies.

Essential Duties:

Gather and analyze company data to provide insights surrounding portfolio performance at consumer, store, and channel levels proactively.
Proficient in multiple programming language/software tools and serves as an advanced resource across analytical teams on accurate use of data and coding advice.
Monitor and evaluate key performance metrics across portfolios and make recommendation where needed.
Design appropriate analytical approach to address complex business problems.
Communicate recommendations and results to key stakeholders.
Collaborate cross functionally to develop and implement processes that optimize product offers based on business needs and with awareness of compliance requirements.
Provide insights in risk management in the loan/lease servicing space and mentor team members to increase subject matter expertise when the need arises.
Perform various ad-hoc analyses relating to credit risk management initiatives.
Propose and present recommendations to senior management and credit committees.

Minimum Education and Experience Required:

Bachelor’s degree in a quantitative field (statistics, math, computer sciences, engineering, economics), Master’s degree preferred
4+ years of experience in Financial/Credit analysis
2+ years of experience with the following tools:
SQL/Snowflake
Excel/Tableau/PowerPoint
SAS/Python/R
Experience with predictive model development, monitoring, or validation
Strong critical thinking and problem-solving skills, with the ability to rapidly transition between critical projects
Detail oriented individual with emphasis on documentation and process reproducibility
High proficiency with Microsoft Office programs
Ability and willingness to consistently live and embrace our core values of accountable, inclusive, transparent, and focused