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Remote Credit Risk Modeling Jobs in Middletown, NY

Ability to work in remote locations for long periods of time; * Excellent interpersonal skills and ... We call this capability our "boots to boardroom" approach for its comprehensive service model that ...

Ability to work in remote locations for long periods of time; * Excellent interpersonal skills and ... We call this capability our "boots to boardroom" approach for its comprehensive service model that ...

Showing results 21-27

Remote Credit Risk Modeling information

What is remote credit risk modeling?

Remote credit risk modeling involves analyzing and predicting the likelihood that borrowers will default on their loans, all while working from a location outside of a traditional office setting. Professionals in this role use statistical techniques and data analysis tools to assess creditworthiness and help financial institutions minimize risk. They often collaborate with teams virtually, utilizing secure platforms to access data and build predictive models. This remote setup allows for flexibility and efficiency while still upholding high standards of data security and accuracy.

How does a remote credit risk modeling professional typically collaborate with cross-functional teams?

As a remote Credit Risk Modeling professional, collaboration with cross-functional teams—such as data analysts, IT specialists, and business stakeholders—is usually facilitated through virtual meetings, shared project management tools, and version-controlled code repositories. Clear communication and regular updates are essential, as you'll often need to translate complex modeling outcomes into actionable insights for non-technical colleagues. Building strong relationships remotely can be a challenge, but utilizing video calls and collaborative documentation helps ensure alignment on project goals and timelines.

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

To thrive as a Remote Credit Risk Modeler, you need a strong background in statistics, data analysis, and financial risk assessment, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical modeling tools such as SAS, R, Python, and experience with credit risk platforms or regulatory frameworks like Basel II/III are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are crucial for interpreting complex data and collaborating with remote teams. These skills ensure accurate risk assessments, regulatory compliance, and sound decision-making in credit portfolios.

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

AspectRemote Credit Risk ModelingRemote Credit Analyst
Required CredentialsDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficialDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficial
Work EnvironmentDeveloping models, analyzing data, using statistical softwareAssessing creditworthiness, reviewing financial documents, communicating with clients
Industry UsageFinancial institutions, credit bureaus, fintech companiesBanks, lending institutions, credit agencies

Remote Credit Risk Modeling focuses on creating statistical models to predict credit risk, requiring strong analytical skills and technical expertise. Remote Credit Analysts evaluate individual credit applications and assess risk based on financial data. While both roles operate remotely within the finance industry, they differ in daily tasks and skill emphasis, with modeling being more technical and analysis more client-focused.

What cities near Middletown, NY are hiring for Remote Credit Risk Modeling jobs?

Cities near Middletown, NY with the most Remote Credit Risk Modeling job openings:

Senior Python Engineer (On-site or Remote)

HowGood

Stone Ridge, NY • On-site, Remote

$130K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Job description

About HowGood
HowGood is an independent research company with the world's largest database on product sustainability. With more than 33,000 ingredients, chemicals, and materials assessed, HowGood SaaS and impact data offerings help leading brands, retailers and investors improve their environmental and social impact. Through in-depth, ingredient-level insights into factors ranging from greenhouse gas emissions to animal welfare to labor risk, HowGood data powers strategic decision-making for the sourcing, manufacturing, merchandising, and marketing of sustainable products.
HowGood was founded with the belief that good information enables good decisions. By illuminating the complex systems that affect our environment, we push organizations to make sustainable products. HowGood is committed to catalyzing change in the food industry, to help create a resilient ecosystem for us and future generations.
The Engineering Team
The engineering team is at the center of operations at HowGood. We build the applications used by our Fortune 500 customers to make critical decisions, and the tools our Research Team uses to work with large pools of data. The work we do enables customers to see the entire universe of sourcing choices and understand their impact within a greater system.
Our team is currently building and evolving our core features in three key directions. We are expanding the capacity and subject matter of our data ingestion to show change over time in carbon emissions, biodiversity impact, working conditions, and other metrics. We are also enhancing our reporting on sustainability performance, for things like evaluating regulatory compliance globally. Finally, we are building the platform used by suppliers to integrate their inventories into our platform.
Sustainability experience is not required to be successful here - we look for smart, ideologically motivated, empathetic engineers who love solving problems and are determined to make an impact in line with our mission. While working on a team of like minded engineers, you will have complete ownership of the solutions and architectural designs that keep HowGood nimble.
The applications and infrastructure that we build requires the ability to seamlessly handle huge amounts of data quickly and reliably, to put our customers on a regenerative path. Our impact on the world depends on it.
Responsibilities
  • Work with the Research and Product teams to implement and design new features, such as metric calculations or better ways of storing/presenting data
  • Own the architecture, implementation, and delivery of features from concept to deployment
  • Test and document your work, along with the standards and conventions agreed upon by the team
  • Help the team grow and improve team culture by putting forward your ideas

Requirements
  • Ability to communicate their opinions to the team, as well as with senior management
  • 5+ years experience with Python
  • 3+ years experience with Django
  • Passionate about code readability, docs, and testing as priority, ahead of optimization
  • Experience building REST APIs
  • Experience with PostgreSQL or another relational database
  • Familiarity with Git and Docker

Our Stack
  • Python/Django
  • Docker
  • PostgreSQL
  • Elasticsearch
  • Redis
  • Kafka
  • AWS

Why work at HowGood?
  • Salary range $130,000-$185,000 (salary commensurate with experience)
  • Health insurance + Vision & Dental
  • 401k with company match
  • Unlimited PTO (that we actually want you to use!)
  • Paid parental leave
  • Work remotely, or from our upstate NY office, or hybrid401k with company match

$130,000 - $185,000 a year
HowGood has the world's largest sustainability database and has recently completed the build for a new data model that allows for unprecedented flexibility in building metrics that help decision makers the world over understand the impact of their choices. Whether we are supporting NGO's, business leads, product developers or individual shoppers, we help people understand the impact of their choices. Our model allows us to build metrics for measuring the impact of externalized costs faster and better than ever before.
Applicants for this role should be excited to participate in creating new understandings, supporting better decision making and helping to change the world.
Competitive benefits package available, with salary commensurate with qualifications and experience.
Special Application Instructions
In addition to applying through Lever, submit your application programmatically by sending a signed POST request to our API. Visit the instructions page for the endpoint, payload schema, signing key, and a working Python example:
https://howgood-apply-api.howgood.workers.dev/how-to/
This is part of the evaluation. It demonstrates that you can read documentation and write working integration code.
HowGood is an Equal Opportunity Employer. We aim to employ people who reflect the diverse nature of society and encourage candidates from all backgrounds to apply. We seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.