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Credit Risk Data Science Jobs in Pennsylvania (NOW HIRING)

Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Analyst, AI Risk Management

Radnor, PA · Hybrid

$72K - $131K/yr

... risk, data science, or a related quantitative filed that directly aligns with the specific responsibilities for this position. Application Deadline Applications for this position will be accepted ...

Analyst, AI Risk Management

Radnor, PA · Hybrid

$72K - $131K/yr

... risk, data science, or a related quantitative filed that directly aligns with the specific responsibilities for this position. Application Deadline Applications for this position will be accepted ...

Analyst, AI Risk Management

Radnor, PA · On-site

$72K - $131K/yr

... risk, data science, or a related quantitative filed that directly aligns with the specific responsibilities for this position. Application Deadline Applications for this position will be accepted ...

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Credit Risk Data Science information

How does a Credit Risk Data Scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is Credit Risk Data Science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.
What are popular job titles related to Credit Risk Data Science jobs in Pennsylvania? For Credit Risk Data Science jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Pennsylvania look for? The top searched job categories for Credit Risk Data Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Credit Risk Data Science jobs? Cities in Pennsylvania with the most Credit Risk Data Science job openings:
Commercial Credit Lead - Engineering & Construction

Commercial Credit Lead - Engineering & Construction

M&T Bank

Wilkes Barre, PA • Hybrid

Full-time

Re-posted 6 days ago


M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 184 frontline employees who took The Breakroom Quiz

76th of 149 rated banks


Job description

Hybrid: Four days a week in the office

Location: This role is open to any location within the M&T Bank commercial footprint.

Overview

The Commercial Credit Lead plays a vital role in assessing and managing credit risk for commercial clients at M&T Bank. This individual contributor senior, clientfacing position involves analyzing financial statements, structuring credit solutions, negotiating legal documents, and obtaining credit approval while ensuring compliance with credit policies and regulatory requirements.

This role specializes in Engineering & Construction (E&C) relationships, which require underwriting expertise related to contractor cash flow, working capital dynamics, backlog and workinprocess (WIP), bonding and surety considerations, and complex legal structures.

The Commercial Credit Lead manages a transaction team and collaborates closely with relationship managers (RM), risk officers, and other stakeholders to facilitate sound credit decisions and maintain portfolio quality.

Primary Responsibilities

  • Facilitate the credit needs of customers by underwriting new requests and material modifications from deal screen through approval and for the life of the loan. This analysis may include recommending adding or removing conditions.
  • Manage the ongoing credit risk of existing loan portfolios through continuous credit monitoring (CCM) activities enabling the timely identification of emerging credit risk so that appropriate actions can be taken to manage the risk, minimize losses and assign an accurate risk rating. A CCM program includes but is not limited to annual reviews (and PLRs and Guarantor Assessments), interim update memos, a covenant monitoring program, problem loan management, early warning indicators, and other forms of credit surveillance.
  • Review all pertinent credit and financial information, including but not limited to financial statements, tax returns, due diligence reports, credit bureaus, appraisals, internal credit information, industry research and peer data. For E&C borrowers, this review specifically includes WIP schedules, backlog reports, contract profitability, AR/AP aging, bonding capacity, and surety relationships.
  • Analyze financial information and related materials and complete the credit analyses for the Bank's commercial transactions. Written analyses to include an independent credit quality assessment with wellsupported risk rating, identification of and description of credit risks and mitigants, industry concerns, market trends, financial trends, and other pertinent credit issues of respective deals.
  • Make appropriate structure recommendations based on an analysis and evaluation of scenarios including the company's case, bank's base case and a downside case. For E&C relationships, evaluate sources of repayment with primary reliance on operating cash flow and working capital, and secondary reliance on hard collateral such as real estate or equipment, recognizing the limited distressed value of accounts receivable and retainage.
  • As part of managing the ongoing credit risk of existing portfolios, identify suspicious activity and activity that may be contrary to customer's interest.
  • Partner proactively with relationship managers, and be intimately involved throughout the deal process, from deal screen through approval and for the life of the loan to maintain timely and accurate risk ratings for a portfolio of commercial credits.
  • Spread financial statements and prepare financial models designed to sensitize various conditions impacting the proposed transaction. For E&C borrowers, perform multiyear trend analysis emphasizing liquidity, leverage, cash flow volatility, project execution risk, and concentration risk.
  • Prepare cash flow, collateral schedules, covenant sensitivity calculations, financial models, and guarantor statement analysis as appropriate.
  • Attend client/prospect calls with RMs to gain a thorough understanding of the client/prospect and their business to effectively analyze and underwrite the proposed transaction. For E&C borrowers, develop an understanding of project mix, delivery method, contract types, geographic exposure, and subcontractor concentration. Based on underwriting parameters, recommend the risk rating.
  • Prepare summary, present facts, and offers opinions concerning creditworthiness.
  • Propose the structure of loan requests, where appropriate, to include suggestions on terms, conditions, collateral, and guarantors. Structures for E&C borrowers may include revolving credit facilities primarily supporting bonding requirements, term debt, equipment financing, owneroccupied real estate, and letters of credit, with appropriate covenants and controls.
  • Displays deep understanding of financial regulatory environment as it applies to underwriting most forms of commercial credit transactions. Demonstrates specific understanding of E&C underwriting guidelines, underwriting variances, and related credit policy expectations.
  • Ensure credit policy compliance by verifying adherence of underwriting to the Commercial Credit Policy, and evaluating any risk associated with noncompliance. Identify, document, and monitor underwriting variances in accordance with policy.
  • Present analysis or address questions during credit request discussions or committee presentations.
  • Understand and adhere to the Company's risk and regulatory standards, policies, and controls in accordance with the Company's Risk Appetite. Identify riskrelated issues needing escalation to management.
  • Promote an environment that supports belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
  • Complete other related duties as assigned.

Scope of Responsibilities

Commercial Credit is responsible for the credit delivery of the Bank's commercial clients. Credit assessments range from initial analyses of new relationships to the Bank to material modifications or restructurings of longterm relationships and ongoing monitoring through the life of the loan. Commercial Credit is also responsible for ensuring the accurate completion of the Bank's risk rating scorecards and financial statement spreads. The work completed in this capacity is used to make credit decisions for new or renewed or amended credit transactions.

Within Engineering & Construction, this role supports some of the largest and most complex portfolios and requires heightened judgment, independence, and technical expertise.

The position interacts with commercial banking RMs and sales leadership throughout the bank's footprint and industry verticals, as well as other internal personnel, on credit approvals for the largest, most complex, and/or specialized loans.

Customer interaction is expected.

Works independently with minimal supervision.

Ability to efficiently lead the transaction execution team comprised of an Associate and/or an Analyst.

Supervisory / Managerial Responsibilities

  • Input into development of and training of junior/newly hired Analysts and Associates.
  • Provide informal mentoring and technical guidance on E&C underwriting, financial analysis, and policy application.

Education and Experience Required:

Bachelor's degree in Accounting, Finance or related field and 7 years' experience in complex credit underwriting, specialty underwriting, or other complex financial analysis role. In lieu of degree, a combined minimum 11 years' higher education and work experience, to include 7 years' experience in complex credit underwriting, specialty underwriting, or other complex financial analysis role.

Excellent analytical skills with a high level of proficiency in financial modeling and analysis of credit transactions / structures.

Ability to calculate and interpret financial ratios, analyze data, and complete trend analysis to understand and minimize credit risks.

Proficient with legal documentation including experience and skill in negotiating legal documentation and the ability to structure transactions independently.

Excellent verbal and written communication skills.

Critical thinking and problem-solving abilities.

Attention to detail and high level of accuracy.

Ability to work independently and as a part of a team.

Strong organizational and time management skills.

Customer focused with strong interpersonal and relationship building skills.

Proficiency in Microsoft Office.

Education and Experience Preferred:

Experience with Capital IQ, FactSet, and Bloomberg.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $123,600.00 - $206,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationWilkes Barre, Pennsylvania, United States of America

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