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Hourly Credit Risk Modeling Jobs in New York (NOW HIRING)

Director of Credit Risk

Manhattan, NY ยท On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk models (rule-based, heuristic, and machine learning) to support underwriting and portfolio ...

Director of Credit Risk

Manhattan, NY ยท On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk models (rule-based, heuristic, and machine learning) to support underwriting and portfolio ...

Director of Credit Risk

Manhattan, NY ยท On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk models (rule-based, heuristic, and machine learning) to support underwriting and portfolio ...

Director of Credit Risk

Manhattan, NY ยท On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk models (rule-based, heuristic, and machine learning) to support underwriting and portfolio ...

Extraction of risk data from various sources, including internal systems, risk models, and external ... base hourly rate. It does not include any other type of compensation or benefits that may be ...

Director, Credit Risk Review We're seeking a future team member for the role of Director, Credit Risk Review to join our Model Risk team. This role is located in New York City, New York. In this role ...

Associates, Counterparty Credit Risk Employer: ING Financial Services, LLC Location: New York, NY ... modeling for projections; monitoring credit portfolios including exposure measurement, credit ...

Sr. Credit Risk Analyst

New York, NY ยท On-site

$100K - $150K/yr

Develop and enhance credit risk frameworks, models, and monitoring tools. * Provide timely risk insights and recommendations to support commercial decision-making. * Monitor portfolio exposures and ...

Develop and enhance credit risk frameworks, models, and monitoring tools. * Provide timely risk insights and recommendations to support commercial decision-making. * Monitor portfolio exposures and ...

We're seeking a future team member for the role of Director, Credit Risk Review to join our Model Risk team. This role is located in New York City, New York. In this role, you'll make an impact in ...

We're seeking a future team member for the role of Director, Credit Risk Review to join our Model Risk team. This role is located in New York City, New York. In this role, you'll make an impact in ...

We're seeking a future team member for the role of Director, Credit Risk Review to join our Model Risk team. This role is located in New York City, New York. In this role, you'll make an impact in ...

Showing results 21-40

Hourly Credit Risk Modeling information

What is hourly credit risk modeling?

Hourly credit risk modeling is the process of assessing and predicting the likelihood of a borrower defaulting on their financial obligations, with risk evaluated and updated on an hourly basis. This approach is often used by financial institutions and fintech companies that require real-time credit risk analysis for instant lending decisions or ongoing portfolio monitoring. By utilizing real-time data and advanced analytics, hourly credit risk modeling enables lenders to respond quickly to changes in a borrower's financial behavior or external market conditions. This leads to more accurate risk assessments and helps institutions manage their exposure more effectively.

What is the difference between Hourly Credit Risk Modeling vs Credit Analyst?

AspectHourly Credit Risk ModelingCredit Analyst
Primary FocusDeveloping and implementing credit risk models to assess borrower riskAnalyzing credit data to evaluate creditworthiness of individuals or companies
Required SkillsStatistical analysis, modeling, programming, financial analysisFinancial analysis, credit report review, communication skills
Work EnvironmentFinancial institutions, consulting firms, often project-basedBanks, lending institutions, credit departments
CertificationsOften requires CFA, FRM, or similar certificationsTypically requires finance or accounting degrees; certifications like CFA are common

Hourly Credit Risk Modeling involves creating quantitative models to predict credit risk, often requiring advanced statistical and programming skills. Credit Analysts focus on evaluating individual credit data to make lending decisions. While both roles require financial knowledge and may share certifications, their core responsibilities differ: one is model development, the other is credit evaluation.

What are the key skills and qualifications needed to thrive as an hourly credit risk modeler, and why are they important?

To thrive as an Hourly Credit Risk Modeler, you need strong quantitative skills, a background in finance, economics, mathematics, or statistics, and experience with credit risk principles. Familiarity with statistical software such as SAS, R, or Python, as well as knowledge of risk modeling frameworks and regulatory requirements, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings to stakeholders. These skills are essential for accurately assessing credit risk, supporting sound decision-making, and ensuring regulatory compliance in financial institutions.

How does an hourly credit risk modeling professional typically collaborate with other departments within a financial institution?

Hourly Credit Risk Modeling professionals often work closely with teams such as underwriting, data analytics, and IT to ensure credit risk models are accurate and actionable. They may participate in cross-functional meetings to discuss model performance, share insights from data analysis, and implement feedback from business stakeholders. Collaboration is key, as their models directly influence lending decisions, risk management strategies, and regulatory compliance. Regular communication with colleagues helps ensure that risk models stay aligned with evolving business needs and regulatory requirements.
What are the most commonly searched types of Credit Risk Modeling jobs in New York? The most popular types of Credit Risk Modeling jobs in New York are:
What are popular job titles related to Hourly Credit Risk Modeling jobs in New York? For Hourly Credit Risk Modeling jobs in New York, the most frequently searched job titles are:
What job categories do people searching Hourly Credit Risk Modeling jobs in New York look for? The top searched job categories for Hourly Credit Risk Modeling jobs in New York are:
What cities in New York are hiring for Hourly Credit Risk Modeling jobs? Cities in New York with the most Hourly Credit Risk Modeling job openings:
Infographic showing various Hourly Credit Risk Modeling job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Quantitative Risk Officer and Risk Model Developer

State Street Corporation

Clifton, NJ โ€ข On-site

$75K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Who we are looking for
A strong quantitative modeler to join the team as an Officer and Credit Risk Modeler based in New Jersey, Connecticut, or Boston. This role is part of the Centralized Modeling, Analytics and Operations Group within Enterprise Risk Management's Financial Risk Organization.
Why this role is important to us
The team you will be joining plays a critical role in the organization's overall success. Across the globe, institutional investors rely on us to manage risk, respond to complex challenges, and drive performance and profitability. To deliver on that mission, we need teams like yours-teams that help the organization operate effectively, adapt quickly, and remain resilient. In this role, you will focus on developing cutting-edge solutions that are both scalable and practical, while contributing to strong day-to-day execution. Join us if you are motivated to make a meaningful impact in the financial services industry from day one.
What you will be responsible for
As Credit Risk Modeler you will:
  • Develop credit risk models (PD/LGD/EL) to provide quantitative support to credit risk analytical processes for State Street's wholesale portfolios, including Commercial Real Estate (CRE), Corporate, Private Equity (PE) Fund and Private Credit (PC) exposures, etc.
  • Develop credit portfolio risk models for CCAR/CECL/IFRS9/BASEL/Ratings/ICAAP use cases, as well as for economic capital
  • Review and enhance credit risk analytical methodology including modeling choices in line with expanding business and regulatory requirements
  • Review and verify key model assumptions with model owners
  • Review model outputs with properly justified opinions and judgments by experts from credit risk managers to capture forward-looking financial market and macro-economic outlooks
  • Implement internally developed models on risk analytical library platform
  • Streamline the existing modeling and analytical process; increasing the pace of execution to meet the needs of the business
  • Work in close partnership with the three lines of defense functions, such as model governance, Corporate Audit and Financial Regulatory Assurance to ensure appropriate governance and control infrastructure for credit risk analytics
  • Prepare and present required reports/reviews to model risk management, senior management and global regulators

What we value
These skills will help you succeed in this role:
  • Strong analytical and quantitative mindset; ability to take ownership and improve on existing risk models and methodologies
  • Energetic/motivator: an enthusiastic individual with proven leadership skills and an ability to motivate a diverse, multi-level workforce and instill a sense of urgency on a range of evolving goals and objectives
  • Organizational strengths: an ability to organize projects, processes and priorities to ensure business needs are met in a coordinated, responsive and timely manner, with minimal direction
  • Confidence: a self-assured, experienced and knowledgeable individual able to quickly garner support for his/her views based on informed, well-presented direction or analysis, with a willingness to negotiate, and concede, when needed
  • Communicator: clear, confident, self-assured communication style, coupled with an ability to react and adapt to various audiences and environments without diluting effectiveness

Education & Preferred Qualifications
  • MS or PhD in statistics or econometrics or equivalent, prefer research area in survival analysis/event history analyses or related areas; Prefer research area that involves heavy programming work with strong programming skills in Python/R/C/C++/SQL etc.
  • Undergraduate training in mathematics and probability theory (measure theory) with good knowledge of stochastic calculus is a big plus.
  • Strong programming skills in Python/R/C/C++/SQL etc.
  • Demonstrated experiences working with model development teams, analytical library development team and technology
  • Motivated and fascinated in how to apply statistics and econometric methodologies to resolve credit risk modeling challenges in financial industry

Salary Range:
$75,000 - $123,750 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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About State Street

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State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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