Remote - Quantitative Analyst

About World Business Lenders (www.wbl.com)

At World Business Lenders (WBL), we offer flexible, short-term commercial loans secured by real estate, catering to a diverse clientele of small and medium-sized enterprises across the United States that often face challenges in accessing traditional financing.

• This is a Contract/Consultant position. Typical working hours are 9:00 am-6:00 pm Eastern Standard Time, Monday through Friday, though expect some flexibility depending on operational needs. Applicants must demonstrate a strong command of the English language, both verbally and in writing.
  
  We would love to see your CV, so please send it to us in English!

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.

• 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.

• Competitive USD Salary
• Enjoy Paid Time Off (PTO)
• Fully Remote Work Opportunity