Data Scientist-Credit Risk

Talent 360 Solutions

Atlanta (GA)

On-site

USD 150,000 - 185,000

Full time

14 days+
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Benefits offered by this job

Benefits
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Job summary

A financial services company based in Atlanta is seeking a Managing Partner for their Credit Risk team. The role involves utilizing Python and advanced analytics to drive strategic credit risk decisions and optimize underwriting policies. Ideal candidates should have a strong background in credit risk analytics and excellent communication skills to influence business strategies effectively. The compensation package ranges from $150,000 to $185,000 annually, plus benefits and bonuses.

Qualifications

  • 4+ years in credit risk analytics or underwriting strategy in financial services.
  • Proven track record of influencing business strategy through data-driven recommendations.
  • Strategic mindset with high attention to detail.

Responsibilities

  • Drive strategic credit risk analyses to guide underwriting policy.
  • Use Python and statistical modeling to assess profitability and risk exposure.
  • Present recommendations to executives in clear terms.

Skills

Analytical skills
Communication skills
Python proficiency
SQL proficiency
Credit risk understanding

Education

Bachelor’s or Master’s in Statistics, Economics, Finance

Tools

Python (pandas, NumPy, scikit-learn)
SQL
Power BI
Tableau

Job description

Overview

Managing Partner at Talent 360 Solutions | Entrepreneur

We are looking for a strategic thinker with deep analytical skills to join our Credit Risk team. This role blends quantitative expertise, credit underwriting knowledge, and business acumen to shape lending strategy. You’ll use Python and advanced analytics to evaluate datasets of all sizes, identify trends, and quantify the profitability and risk of potential changes. Your insights will directly inform executive decision-making and long-term credit policy.

About the Role: This position involves driving strategic credit risk analyses to guide underwriting policy and portfolio optimization.

Base pay range

$150,000.00/yr - $185,000.00/yr

Pay range and compensation package: $125-$150K, Benefits, Bonus

Responsibilities
  • Drive strategic credit risk analyses to guide underwriting policy and portfolio optimization.
  • Use Python and statistical modeling to assess the impact of proposed changes on profitability, loss rates, and risk exposure.
  • Translate data findings into actionable business strategies, balancing growth objectives with risk management.
  • Work with datasets ranging from targeted samples to large-scale transactional databases, ensuring accuracy and integrity.
  • Partner with senior leaders in Risk, Finance, and Product to evaluate and prioritize strategic initiatives.
  • Present recommendations to executives and stakeholders in clear, compelling, and financially grounded terms.
  • Monitor external market conditions and internal performance metrics to proactively adjust strategy.
Qualifications
  • Bachelor’s or Master’s in Statistics, Economics, Finance, or related field.
  • 4+ years in credit risk analytics, underwriting strategy, or related function in financial services.
  • Advanced proficiency in Python (pandas, NumPy, scikit-learn, visualization libraries) and SQL.
  • Strong understanding of credit risk principles and strategic portfolio management.
  • Proven track record of influencing business strategy through data-driven recommendations.
  • Exceptional communication skills—able to explain complex analyses to senior decision-makers.
  • Strategic mindset with high attention to detail and a bias for action.
Preferred Skills
  • Experience in sub-prime or near-prime consumer lending.
  • Familiarity with profitability modeling, ROI analysis, and credit scoring techniques.
  • Exposure to BI tools (Power BI, Tableau) and big data/cloud platforms.

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