Senior Financial Risk Analytics Analyst

Credigy

Norcross (GA)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Credigy is seeking a Senior Analyst, Financial Risk Analytics in Norcross, GA to support its investment portfolio through advanced financial modeling and trend analysis. The role focuses on building valuation models, interpreting performance data, and collaborating with cross-functional teams across Valuation, Modeling, Data Strategy & Operations.

The ideal candidate has strong analytical skills, curiosity, and proficiency with Excel, SQL Server, Snowflake, Tableau, and Python, with the ability

Qualifications

  • Bachelor’s degree in Finance, Economics, Engineering, Math, or other quantitative fields.
  • While 5+ years of experience is ideal, we welcome candidates with less experience who are motivated to learn and grow with us.
  • Experience with analytical tools (Excel, SQL, Snowflake, Tableau); Python experience is a plus.

Responsibilities

  • Develop expert-level knowledge of the company’s investments, including core valuation assumptions.
  • Perform detailed analyses of performance trends and identify investments requiring further review.
  • Apply external tools to evaluate impacts of market and economic conditions.
  • Build and refine financial models to forecast cash flows and economic returns for existing investments.
  • Understand the company’s data architecture and support efforts to create and maintain a robust Data Warehouse.
  • Assess broad areas of risk across the investment portfolio, including evaluating methods for risk mitigation.
  • Perform additional duties as assigned by management.

Skills

Analytical thinking
Curiosity
Data analysis
Team collaboration

Education

Bachelor’s degree in Finance, Economics, Engineering, Math, or other quantitative fields

Tools

Excel
SQL Server
Snowflake
Tableau
Python

Job description

Credigy is seeking a Senior Analyst, Financial Risk Analytics in Norcross, GA to support its investment portfolio through advanced financial modeling and trend analysis. The role focuses on building valuation models, interpreting performance data, and collaborating with cross-functional teams across Valuation, Modeling, Data Strategy & Operations.

The ideal candidate has strong analytical skills, curiosity, and proficiency with Excel, SQL Server, Snowflake, Tableau, and Python, with the ability

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