Quantitative Analyst
World Business Lenders, LLC
contract
Posted on:
Location Type: Remote
Location: Remote • 🇨🇷 Costa Rica
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonVBA
About the role
- Design, create, and maintain statistical and quantitative models that improve lending strategies, risk management, pricing, and portfolio approaches.
- Perform comprehensive statistical research to uncover valuable insights into borrower behavior, credit performance, prepayment risk, default risk, and trends in loss severity.
- Develop, test, and validate predictive models by leveraging historical data related to loans, collateral, market dynamics, and macroeconomic conditions to strengthen our underwriting and risk-rating systems.
- Utilize Monte Carlo simulations, time-series analysis, and regression modeling for projection across various economic and stress scenarios.
- Assess, contrast, and enhance different model structures and methodologies.
- Develop automated analytical tools, dashboards, and model outputs using Python, R, MATLAB, and Excel/VBA to boost efficiency and scalability.
- Lead research projects, steering them from hypothesis development through experimentation, validation, documentation, and presentation of findings.
- Maintain high standards of numerical accuracy, methodological integrity, and thorough documentation to support internal governance, audits, and regulatory compliance.
- Stay updated on the latest advancements in quantitative finance, statistical modeling, and analytical techniques to continually enhance WBL’s modeling and forecasting abilities.
- Foster a vibrant, data-driven culture by proactively seeking ways to elevate decision-making through insightful quantitative analysis.
Requirements
- A bachelor's degree with a foundation in quantitative and analytical skills, preferably in fields such as Applied Mathematics, Physics, Engineering (preferably in Statistical, Aerospace, Finance), Statistics, Capital Markets or Corporate Finance.
- Experience in quantitative research roles, especially across Capital Markets, Investment Management, and Trading.
- Hands-on experience in building and validating statistical, econometric, or predictive models.
- Proficient in handling large data sets, working with simulation models, and utilizing forecasting tools.
- A background in research-driven environments that focus on statistical theory, model design, and analytical experimentation.
- Strong analytical reasoning paired with structured problem-solving skills.
- Experience with correlative regression and theoretical regression techniques.
- A critical thinker who pays close attention to detail and numerical accuracy.
- High learning agility along with the ability to independently direct technical research.
- Excellent communication skills in English, both written and verbal.
- Comfortable working in a high-energy, fast-paced environment.
- **Technical Skills Required**
- **Technologies & Resources:** Well-versed in Python, R, VBA for Excel automation, and MATLAB.
- **Expertise in Statistical & Quantitative Modeling:** Proficient in Monte Carlo simulations, time-series analysis, as well as correlational and multivariate regression techniques, along with statistical hypothesis testing and forecasting.
- Able to compare, optimize, and validate various model types.
- Possesses a strong grasp of processes and theoretical foundations.
Benefits
- Competitive USD Salary
- Enjoy Paid Time Off (PTO)
- Fully Remote Work Opportunity
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical modelingquantitative analysispredictive modelingMonte Carlo simulationstime-series analysisregression modelingdata analysisstatistical hypothesis testingforecastingmodel validation
Soft skills
analytical reasoningstructured problem-solvingcritical thinkingattention to detaillearning agilitycommunication skillsindependent research directionteam leadershippresentation skillsadaptability