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Freelance Credit Risk Modeling Jobs in Louisiana

Strong understanding of credit risk modeling techniques, statistical methods, and quantitative analysis. * Proficiency in programming languages such as Python, R, SAS or Excel VBA. * Familiarity with ...

$93K - $189K/yr

The ideal candidate is a proven credit risk manager with an exceptional delivery track record ... Understanding of application of credit and behavioral models within a scored originations ...

Strong knowledge of secured and unsecured credit underwriting, credit policy, and risk oversight * Deep understanding of financial institution balance sheets, products, and business models Preferred

Performs quarterly monitoring of all models related to loss forecasting, ACL. * Collaborates with business and credit risk managers to ensure the timely delivery of results and related analysis.

Hands-on experience analyzing commercial credit risk and making informed exposure recommendations. * Advanced proficiency in Microsoft Excel for analysis, modeling, and reporting. Strong ERP ...

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Credit Analyst evaluates the financial health and risk profile of commercial, consumer and mortgage ... Experience with discounted cash flow models, a plus. * 1-3 years of related experience within ...

We are assembling a multidisciplinary team across credit, engineering, risk, and governance to ... TVL and utilization, yield vs. target, deviations from model, and the interaction between ...

Opportunities to earn college credit while working * Relocation assistance * Company vehicle ... Teach and role model Boys Town values and ethical behaviors, as well as support and encourage ...

Opportunities to earn college credit while working * Relocation assistance * Company vehicle ... Teach and role model Boys Town values and ethical behaviors, as well as support and encourage ...

... risk factors * Build, update, and maintain spreadsheet models and reports used to organize research ... At least 1 year of experience in research, underwriting support, credit analysis, or a similar ...

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Freelance Credit Risk Modeling information

What is freelance credit risk modeling?

Freelance credit risk modeling involves independent professionals analyzing and predicting the likelihood that borrowers or counterparties will default on financial obligations. These freelancers use statistical methods, machine learning models, and data analysis to assess credit risk for banks, lenders, or other firms. Their work helps organizations make informed lending decisions, set appropriate interest rates, and comply with regulatory requirements. Freelancers in this field may work on projects like developing credit scorecards, stress testing portfolios, or validating existing risk models.

How do freelance credit risk modelers typically collaborate with clients and other stakeholders during projects?

Freelance credit risk modelers usually work closely with client teams such as credit analysts, data engineers, and compliance officers to understand data sources, project objectives, and regulatory requirements. Communication often occurs through regular virtual meetings, progress reports, and collaborative tools to ensure transparency and alignment. Freelancers must be proactive in clarifying goals, sharing preliminary findings, and incorporating feedback to deliver models that meet both technical and business needs. Building strong client relationships and maintaining clear documentation are key to successful collaboration in this role.

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

To thrive as a Freelance Credit Risk Modeler, you need a strong background in statistics, quantitative finance, and data analysis, typically supported by a degree in finance, mathematics, or a related field. Proficiency in programming languages such as Python, R, or SAS, along with experience using risk modeling software and knowledge of regulatory frameworks like Basel III, is crucial. Excellent communication, project management, and client relationship skills help distinguish top freelancers in this role. These abilities are essential for delivering accurate risk assessments, meeting client expectations, and maintaining compliance in a dynamic financial environment.

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

AspectFreelance Credit Risk ModelingCredit Analyst
CredentialsRelevant certifications (e.g., CFA, credit risk certifications), strong quantitative skillsTypically requires a degree in finance, economics, or related field; certifications are a plus
Work EnvironmentIndependent, project-based, remote or client-siteUsually in banks, financial institutions, or corporate offices
Industry UsageUsed by consulting firms, freelance platforms, and financial servicesEmployed directly by financial institutions or corporations
Comparison Search IntentUnderstanding freelance opportunities in credit risk modelingAssessing creditworthiness and risk for lending decisions

Freelance Credit Risk Modeling involves independent, project-based work focusing on developing risk models, often remotely. Credit Analysts work within organizations to evaluate creditworthiness, typically in a structured environment. While both roles require financial expertise and similar credentials, their work settings and employment types differ significantly.

What are the most commonly searched types of Credit Risk Modeling jobs in Louisiana?

The most popular types of Credit Risk Modeling jobs in Louisiana are:

What are popular job titles related to Freelance Credit Risk Modeling jobs in Louisiana?

For Freelance Credit Risk Modeling jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Freelance Credit Risk Modeling jobs in Louisiana look for?

The top searched job categories for Freelance Credit Risk Modeling jobs in Louisiana are:

What cities in Louisiana are hiring for Freelance Credit Risk Modeling jobs?

Cities in Louisiana with the most Freelance Credit Risk Modeling job openings:

VP, Credit Risk Model Validation

Central, LA โ€ข On-site

$80 - $140/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Company: 1011 United Overseas Bank Ltd

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years.

Over this time, we have been guided by our values โ€“ Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

We value our people and invest in them as we look to fulfil our purpose of building the future of ASEAN. We seek to create a collaborative and progressive environment for them to succeed in their careers for the long term.

Job Description

Risk Analytics Division is the Group's centralized independent validation team that validates all credit, risk quantifications and valuation models. The Risk Analytics Division primary functions include 1) Ensuring a robust internal validation system, 2) Validating new internally developed and vendor-developed models and 3) Conducting annual validation of existing models. The team conducts comprehensive independent validation of various risk models, including but not limited to IFRS9, credit risk, liquidity risk and stress testing models by 1) providing independent quantitative and qualitative assessment on all model related aspects, 2) highlighting to management the areas of risks and weaknesses and 3) provide regular advice on enterprise risk models to counterparts in the regional subsidiaries.

Job Responsibilities
  • Conduct independent validation of a wide range of credit risk models, including PD, LGD, EAD, stress testing, and IFRS9 models, across various portfolios (retail, corporate, wholesale).
  • Provide effective challenges to all model aspects including theoretical / conceptual soundness, model assumptions, model design, data inputs, modeling process, and model outcomes.
  • Develop and implement comprehensive validation plans, including quantitative and qualitative analyses, back testing, sensitivity analysis, and benchmark comparisons.
  • Document validation findings, limitations, and recommendations clearly and concisely in validation reports.
  • Effectively communicate validation results and recommendations effectively to model developers, model owners, senior management, and internal/external auditors.
  • Stay abreast of industry best practices, regulatory requirements (e.g., Basel, IFRS9, MAS), and emerging trends in model risk management and quantitative finance.
  • Collaborate with model development teams to understand model methodologies and provide constructive feedback for model enhancements.
  • Contribute to the continuous improvement of the model validation framework, policies, and procedures.
  • Participate in ad-hoc projects related to model risk management and quantitative analysis as required.
Job Qualifications
  • Undergraduate, Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Economics, or Computer Science.
  • Minimum of 2-5 years of experience in credit risk model validation, model development, or quantitative risk management within a financial institution.
  • Strong understanding of credit risk modeling techniques, statistical methods, and quantitative analysis.
  • Proficiency in programming languages such as Python, R, SAS or Excel VBA.
  • Familiarity with regulatory requirements related to model risk management (e.g., Basel III, IFRS9, MAS guidelines).
  • Excellent analytical, problemโ€‘solving, and critical thinking skills.
  • Strong written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and nonโ€‘technical audiences.
  • Ability to work independently and as part of a team in a fastโ€‘paced environment.
  • High level of attention to detail and commitment to accuracy.
Additional Requirements
  • Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other nonโ€‘merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Company Profile & Recognition

UOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region.

Career Site: UOB Career site

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