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Internship Quantitative Risk Modeler Jobs in Texas

Collaborate with quantitative analysts to refine model assumptions, validate model outputs, and ensure accuracy in risk measurement. * Apply advanced statistical techniques and machine learning ...

... Quantitative Cost Risk Analysis: * Lead full Monte Carlobased cost and schedule risk analyses using Primavera Risk Analysis (PRA), @Risk, Safran, or equivalent tools. * Build and validate risk models ...

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

Develop risk models and frameworks to manage portfolio risks * Create tools to automate research ... No previous Quant Finance or specific asset class experience required. * History of diverse ...

The modeling and the resulting quantification is used to influence strategic decisions by executive ... Also develops and documents the quantitative tools used to quantify credit risk, provide early ...

The modeling and the resulting quantification is used to influence strategic decisions by executive ... Also develops and documents the quantitative tools used to quantify credit risk, provide early ...

Design and oversee sophisticated quantitative models, sensitivity analyses, and value-at-risk calculations. Lead scenario planning and stress testing exercises, linking risk outcomes to business ...

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Internship Quantitative Risk Modeler information

What is the difference between Internship Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectInternship Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsOften requires a degree in finance, economics, or quantitative disciplines; certifications like FRM or CFA are common
Work EnvironmentInternship setting, learning-focused, supervised by senior staffFull-time professional role, responsible for risk assessment and modeling
Employer & Industry UsageUsed in banks, asset management firms, and financial institutions for training and entry-level rolesCommon in financial services, banking, and investment firms for ongoing risk management

The Internship Quantitative Risk Modeler is an entry-level, learning-focused role typically held by students or recent graduates, whereas the Quantitative Risk Analyst is a full-time professional responsible for analyzing and managing risk using quantitative models. The internship provides foundational experience, while the analyst role involves ongoing risk assessment and decision-making.

What job categories do people searching Internship Quantitative Risk Modeler jobs in Texas look for? The top searched job categories for Internship Quantitative Risk Modeler jobs in Texas are:
What cities in Texas are hiring for Internship Quantitative Risk Modeler jobs? Cities in Texas with the most Internship Quantitative Risk Modeler job openings:
Senior Credit Risk Modeling Analyst (Must Reside in Texas)

Senior Credit Risk Modeling Analyst (Must Reside in Texas)

Randolph-Brooks Federal Credit Union

San Antonio, TX • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Randolph-Brooks Federal Credit Union rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Job Description and Requirements
Randolph-Brooks Federal Credit Union is currently searching for an experienced and talented Senior Credit Risk Modeling Analyst to join our amazing Consumer Lending team!
Senior Credit Risk Modeling Analyst will have the ability to work a hybrid schedule (remote/onsite) after a period of training (time frame may vary). Training will take place at the RBFCU Administrative Service Center: 1 Ikea-RBFCU Pkwy, Live Oak, Texas 78233.
All applicants must reside within the state of Texas and have the capability of performing all of the work from their home in Texas.
To successfully work from home, employees must have access to a minimum internet connection as noted by RBFCU.
  • Must have a reliable home internet provider and the ability to hard wire a connection directly to modem (Ethernet cable provided)
  • Must be able to provide a workspaces at home that is safe, suitable for work, and within a distraction free environment

The Senior Credit Risk Modeling Analyst will design and build credit risk models that enable automated underwriting while optimizing decision rates and loss performance within defined risk tolerances. Apply statistical and machine-learning techniques to large, complex datasets for feature engineering, model development, and loss forecasting, with consideration for governance and regulatory requirements. Continuously monitors model performance and input stability to detect variable drift and emerging risk as origination strategies evolve.
Essential Functions and Responsibilities:
  • Utilizes risk modeling techniques to identify, quantify, and forecast potential credit risk and opportunities for the institution
  • Develops and maintains expertise in the fields of risk quantification and modeling to support both internal and external stakeholders
  • Collaborates with stakeholders to understand product characteristics used for modeling while assisting in communication and education of current and expected risk exposures
  • Makes recommendations to management on current and future strategies and profitability projections
  • Perform other quantitative analysis for institution stakeholders as needed
  • Leverage expertise to foster and expand collective knowledge within the team
  • Gathers and analyzes pertinent data to create or strengthen models that forecast risk exposure and help make informed business decisions
  • Continuously monitor the economic and business environments to update models as new data becomes available
  • Defines, documents, and summarizes methodologies, assumptions, and results of risk models and prepares reports for management
  • Act as a liaison between lending and IT to assist in the aggregation and organization of institutional data for the use in models and reporting.
  • All other duties as assigned (note: essential functions and responsibilities may change, or new ones may be assigned at any time with or without notice)

Requirements:
  • Master's degree in finance, statistics or other quantitative field or 6 years of job-related experience in lieu of master's degree
  • Minimum 5 years of experience in a similar role or experience in similar areas in the Banking/Financial Services Industry
  • Strong analytical, mathematics, organizational, and planning skills
  • Ability to articulate complex theories, concepts, methodologies, and findings in a non-technical manner to a non-technical audience
  • Innovative self-starter with ability to meet deadlines, work independently, and think outside the box
  • Excellent interpersonal skills, with a desire to pursue best practices in a challenging team environment
  • Proficient to advanced knowledge of statistical modeling and other quantitative techniques including, but not limited to, linear & non-linear regression, optimization, simulation, time-series analysis, probability theory, survival analysis, and value-at-risk
  • Knowledgeable of modeling systems and/or computer programming languages used for modeling (e.g. python & R)
  • Ability to complete multiple projects and meet deadlines
  • Capable of working on assignments with minimal assistance

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

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