Quantitative Risk Analyst

Reposted 2 Days Ago
Be an Early Applicant
Philadelphia, PA, USA
In-Office
64K-106K Annually
Entry level
Financial Services
The Role
Assist in creating credit decision scorecards, develop credit risk modeling strategies, analyze data, validate credit default rates, and support projects.
Summary Generated by Built In

Job Description

NewLane Finance is seeking an individual to assist the credit and risk modeling and analytics function using data to advance credit risk behavior and quantification of these risk and return tradeoffs through the deployment of models and algorithms to optimize such strategies. This role will be responsible for providing analytical/quantitative input to help develop, implement, and monitor the build of complex commercial small business Expected Default (ED) and Probability of Default (PD) credit default models. 

The successful candidate will use their business analysis, process, and quantitative knowledge to ensure business intent is matched with modeling outcome, and document development decisions under SR11‐7 guidelines. In addition to responsibilities on individual modeling projects this role will be expected to work on ad‐hoc projects as needed. Communicating model mechanics and articulating nuances to leadership will be an important aspect of the role. This is a great opportunity for someone who is a modeler/statistician/data analyst/coder (or a combination) with experience in commercial small business credit analysis.

Key Responsibilities:

  • Assist the Quantitative Risk Manager in constructing a Credit Decision Scorecards and statistically based credit risk modeling strategies based on quantitative modeling methods (e.g., good / bad definition, performance sample windows, sample size and exclusions). 
  • Assist in developing and implementing a framework for data collection, processing and analyzing customer and 3rd party data (e.g., PayNet, D&B, consumer credit bureaus) for implementing credit risk strategies
  •  Plan and execute self-driven analytics on large data sets (structured and unstructured data) using next generation technologies, prepare analysis and reports to support discussions on key analytics and model aspects to drive decision making
  • Validate credit default rates from portfolio attributes (e.g., delinquencies, EOD, loss curves, dealer performance) and make recommendations on credit model and policies
  • Work with sales management on risk-based pricing strategies optimizing dealer conversion rates and profitability.
  • Oversight of credit data mart used for reporting and portfolio performance monitoring.
  • Supporting ongoing and future projects working with the senior team.
  • Ability to create visualizations of data and/or quantitative information for management decision-making
  • Support building and enhancing procedures and model documentation in compliance with regulatory guidance as well as the Bank’s model risk policy
  • Maintain current/develop new analytical reports and presentations for senior management, executive committees, and regulatory exams

Experience:

  • Bachelor's degree in Mathematics/Statistics, Operations Research, Economics, Finance, or other quantitative discipline; or in lieu of a degree, four (4) plus years’ experience in Risk, Finance, Consumer Lending
  • Three (3) plus years of commercial small business credit modeling experience.
  • Two (2) plus years of experience in Consumer Lending statistical modeling/analytics, preferably related to ALL and/or Loss Forecasting modeling for credit cards.
  • Two (2) plus years in coding with Python, PySpark or other equivalent language within the past Five (5) years

Desired Characteristics:

  • Demonstrated experience with SAS and other statistical methods. 
  • Proven decision-making role constructing credit models in a regulated environment
  • Strong quantitative and analytical skills in statistical analysis and data science best practices
  • Strong communication and partnering skills

Salary Range:

$64,491.00 - $105,949.50

Individual base pay may vary on additional factors such as the candidate’s experience, job-related skills, relevant education, geographic location, and other specific business and organizational needs.

In addition to base salary, WSFS Financial Corporation (WSFS) and its subsidiaries may offer eligible Associates discretionary and formula-based incentive and retention awards. WSFS provides a competitive benefits package, which includes medical, dental, and vision coverage; a 401(k) plan; life, accident, and disability insurance; flexible spending accounts (FSAs) and health savings accounts (HSAs); and wellness programs. Additional benefits may include paid parental leave, military leave, vacation and other paid time off, sick leave in accordance with applicable state laws, and paid holidays. Benefit offerings are subject to eligibility requirements, legal limitations, and may vary based on an Associate’s location and employment status. For more information about Associate benefits, please visit https://www.wsfsbank.com/about/careers/

WSFS Bank is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the WSFS Bank Careers website or submission process, please contact us via email at [email protected].

WSFS is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Skills Required

  • Assist in construction of credit decision scorecards
  • Develop credit risk modeling strategies
  • Plan and execute analytics on large datasets
  • Create visualizations of data for management
  • Support regulatory compliance documentation

WSFS Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about WSFS Bank and has not been reviewed or approved by WSFS Bank.

  • Retirement Support A company 401(k) match is highlighted as part of the package. Feedback suggests this strengthens long-term savings support for many roles.
  • Leave & Time Off Breadth Paid time off and holidays are core components of the offering. Feedback suggests company-paid volunteer time adds additional flexibility for community engagement.
  • Parental & Family Support Paid parental leave is explicitly included. Feedback suggests candidates should confirm role-specific eligibility and duration.

WSFS Bank Insights

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The Company
HQ: Wilmington, DE
2,187 Employees
Year Founded: 1832

What We Do

WSFS Financial Corporation is a multibillion-dollar financial services company. Its primary subsidiary, WSFS Bank, is the oldest and largest locally headquartered bank and trust company in the Greater Philadelphia and Delaware region. As of June 30, 2024, WSFS Financial Corporation had $20.7 billion in assets on its balance sheet and $84.9 billion in assets under management and administration. WSFS operates from 114 offices, 88 of which are banking offices, located in Pennsylvania (57), Delaware (39), New Jersey (14), Florida (2), Nevada (1) and Virginia (1) and provides comprehensive financial services including commercial banking, consumer banking, treasury management and trust and wealth management. Other subsidiaries or divisions include Arrow Land Transfer, Bryn Mawr Capital Management, LLC, Bryn Mawr Trust®, The Bryn Mawr Trust Company of Delaware, Cash Connect®, NewLane Finance®, Powdermill® Financial Solutions, WSFS Institutional Services®, WSFS Mortgage®, and WSFS Wealth® Investments. Serving the Greater Delaware Valley since 1832, WSFS Bank is one of the ten oldest banks in the United States continuously operating under the same name. Member FDIC | Equal Housing Lender | NMLS #417673

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