Risk Analyst Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's risk analyst job market is anchored by Philadelphia's financial services corridor and Pittsburgh's growing insurance and technology sectors. Major employers including Vanguard, Lincoln Financial Group, Cigna, and PNC Financial Services have established sponsorship track records for qualified international candidates in quantitative and analytical roles.
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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.
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 careers@wsfsbank.com.
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.
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.
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 careers@wsfsbank.com.
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.
Risk Analyst Job Roles in Pennsylvania
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Search Risk Analyst Jobs in PennsylvaniaRisk Analyst Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for risk analysts in Pennsylvania?
Philadelphia-based financial institutions and insurers are the most active sponsors. Vanguard, Lincoln Financial Group, Cigna, Independence Blue Cross, and PNC Financial Services have all filed Labor Condition Applications for risk analyst roles in Pennsylvania. Consulting firms with Pennsylvania offices, including Deloitte and KPMG, also sponsor analysts placed with financial sector clients in the state.
Which visa types are most common for risk analyst roles in Pennsylvania?
The H-1B visa is the most common visa for risk analysts in Pennsylvania, as the role typically requires a bachelor's degree or higher in finance, statistics, mathematics, or a related quantitative field, meeting the specialty occupation standard. Candidates with advanced degrees may also see employers pursue the H-1B cap-exempt route through universities, and some roles qualify under the O-1 visa for candidates with demonstrated distinction in quantitative fields.
Which cities in Pennsylvania have the most risk analyst sponsorship jobs?
Philadelphia accounts for the large majority of risk analyst sponsorship activity in Pennsylvania, driven by its concentration of asset managers, insurers, and regional banks. Pittsburgh is a secondary hub with sponsorship opportunities at PNC Financial Services and technology-adjacent financial firms. Berwyn and the Philadelphia suburbs along the Route 202 corridor also host several financial services employers with active sponsorship histories.
How to find risk analyst visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically for roles where employers have demonstrated visa sponsorship willingness, covering risk analyst positions across Philadelphia, Pittsburgh, and other Pennsylvania markets. Searching by state and role on Migrate Mate surfaces opportunities at financial institutions, insurers, and consulting firms that are actively recruiting internationally for quantitative and risk-focused positions in Pennsylvania.
Are there state-specific or role-specific factors that affect sponsorship for risk analysts in Pennsylvania?
Pennsylvania's concentration of insurance and asset management employers means many risk analyst roles require actuarial or quantitative finance backgrounds, which strengthens H-1B specialty occupation arguments. The state also has a strong graduate pipeline from Carnegie Mellon, Penn, and Drexel, whose international alumni are frequently sponsored by Philadelphia and Pittsburgh employers. Prevailing wage requirements are set at the county level under Department of Labor guidelines, so wages vary between Philadelphia and smaller markets.
What is the prevailing wage for sponsored risk analyst jobs in Pennsylvania?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.