Quantitative Modeling Analyst I — Hybrid

SECU

Raleigh (NC)

Hybrid

USD 85,000 - 115,000

Full time

26 hours ago
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Benefits offered by this job

Hybrid work schedule

Job summary

SECU in Raleigh seeks an experienced quantitative analyst to support capital planning, stress testing, and CECL efforts by developing, monitoring, and backtesting models. The role informs executive decisions on scenario design and balance-sheet trends.

The candidate should have a four-year quantitative degree and 2+ years in financial services risk/finance, with proficiency in R, Python, or SAS, and strong communication to senior management. Hybrid work arrangement is offered.

Qualifications

  • This position requires a four-year degree in Finance, Mathematics, Economics, or a related quantitative field of study.
  • 2+ years of progressive experience in financial services industry in risk management or finance or an advanced degree in a quantitative field of study
  • Strong understanding of financial markets, interest rates and potential impact of current economic activities and political events. Strong understanding of financial statements, forecasting, and performance metrics.
  • Proven ability to condense highly technical subject matter into clear and effective communications to senior management.
  • Proficient with statistical software programming tools such as R, Python, SAS.

Responsibilities

  • (30%) Assist with the maintenance of existing quantitative analysis, credit loss forecasting models, and behavior modeling for loan and deposit products.
  • (30%) Lead in the development, documentation, review, backtesting, and approval of new models.
  • (20%) Assist with capital planning and analysis to support growth projections and scenario design.
  • (20%) Assist with implementation, performance monitoring, and ad hoc analysis to support credit loss forecasting.

Skills

Quantitative modeling
Risk management
Economic analysis
Communication to leadership

Education

Bachelor's degree in Finance, Mathematics, Economics, or related quantitative field
Advanced degree in Finance, Mathematics, Economics, or related quantitative field

Tools

R
Python
SAS

Job description

SECU in Raleigh seeks an experienced quantitative analyst to support capital planning, stress testing, and CECL efforts by developing, monitoring, and backtesting models. The role informs executive decisions on scenario design and balance-sheet trends.

The candidate should have a four-year quantitative degree and 2+ years in financial services risk/finance, with proficiency in R, Python, or SAS, and strong communication to senior management. Hybrid work arrangement is offered.

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