Data Analyst

Data Analyst

The Data Analyst is part of Lendistry’s (“The Company”) Risk Management Organization functioning as a key member supporting the Risk Management team’s models, analysis, reports, and presentations.  The Risk Management team is responsible for assessing and managing Credit, Interest Rate, Strategic, Operational/Transaction, Liquidity, and Reputation Risk.  The Analyst will work with the Director of Risk Management to provide analytical support and act as a primary backup to the Director of Risk Management including preparing presentation materials, analysis, and coding.

The position requires an individual that has a track-record of excellence for detailed financial and quantitative analysis, data management, verification, and coding of large datasets and creating insightful summary for presentations and executive management level reporting.  In addition, knowledge and insights into risk evaluation and management, economic environment and its impact on different industry sectors, probability of default, loss given default, exposure at default, expected loss, awareness of competitive dynamics in the financial services sector, experience with small business credits, working knowledge of Small Business Administration (“SBA”) requirements and the intellectual curiosity to learn will be key success factors in the role and to help facilitate career growth.

The candidate’s technical expertise will be complemented by excellent communication skills (both verbal and written), project management and the ability to successfully engage in complex discussions with business unit and division heads to explain results of analysis.


Under the guidance of the Director of Risk Management, the Data Analyst is the primary preparer for the quarterly and monthly risk reports, underlying analysis and presentation, assistance in development of Risk Management projects, including research, project management, analysis and coding.  All tasks should be transparent and well documented to allow for secondary review for validation.

  • Create Risk Management Deck – Under the guidance of the Director of Risk Management prepare quarter over quarter portfolio composition and transition analysis. Create tables and charts to clearly articulate the changes in risk profile of the Company’s portfolio. Assist in identifying the primary drivers of changes in risk and work with Credit to understand the nature and the velocity of increased risk. Prepare risk management deck and provide commentary on risk drivers.
  • Verify portfolio and calculation of Allowance for Credit Losses.
    • Liaise with the Allowance and Credit teams to ensure consistent and appropriate methodology is applied across the portfolio for calculation of Collectively assessed reserves

    • Maintain and review quarter end Individual assessments then compile loss projection report with quarter to date charge-offs and recoveries

    • Review qualitative reserve metrics submitted by the Allowance team

    • Assist in proposing conditions where other qualitative reserves are necessary.

    • Ensure consistent calculation of the off-balance sheet reserves

  • Other portfolio analysis, review, and ad hoc reporting.

  • Data manager for credit database

  • Data manipulation and creation of statistics for expected loss modeling

  • Calculation of PD and LGD Parameter quantification and analysis

  • Procure, maintain, and enhance the Tickler report that monitors metrics of credit risk management

  • Identify the need for and create new tickler reports to support Risk Management activities

  • Ad hoc investor report and other projects.

  • Complete control testing and audit projects

  • Communicate effectively, clearly, concisely, and accurately using written and verbal communications with all levels of management.

  • Perform other duties as assigned.


  • A minimum of 3 years of financial, quantitative or risk management analyst is preferred, but competent candidates with solid potential but having less experience are also encouraged to apply.

  • Strong market knowledge and understanding of business and risk

  • Working knowledge of probability of default, loss given default, exposure at default and expected loss

  • Strong quantitative, analytical, and conceptual skills to understand and make data inferences to identify areas of concern and key interest

  • Ability to support conclusions through fact-based analysis and ability to influence senior leaders

  • Familiarity with Internal Controls Protocols

  • Strong communication and interpersonal skills, possessing the ability to work with multiple parties, establish and develop working relationships

  • Strong organizational with the ability to prioritize assignments and effectively handle multiple tasks/ activities daily while delivering high quality results.

  • Working expertise with Microsoft Office software, especially Excel, PowerPoint, and Word.

  • Ability to work with database systems. It is essential that they are skilled in building spreadsheets to provide monthly/quarterly reports

  • Coding preferably in Python but must know SQL. 


  • Ability to formulate actionable items upon receiving directions from management 
  • Ability to work read and write complex MS Excel formulas, problem solve then resolve formula issues.
  • Proficient with MS Word and MS PowerPoint
  • Strong analytical and quantitative skills
  • Industry experience and familiarity with risk frameworks, regulatory expectations, and best practices.
  • Strong written and verbal communication skills, with the ability to communicate complex matters in an easy-to-understand fashion.
  • A highly motivated self-starter who is comfortable working independently as well as in a team environment.
  • Industry experience and familiarity with risk management or expected loss modeling.
  • Strong critical thinking and demonstrated ability to manage complexity and ambiguity.


  • Experience in Risk management, Financial or quantitative Analysis.
  • Bachelor’s Degree with a preference in finance, accounting, economics, mathematics, engineering, statistics, or Risk Management
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