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Credit Risk Analytics
Banco Santander
Boston, MA, United States
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Description
Risk is present in all of Santander’s activities and effective Risk Management is a critical component of the Bank’s success. Through application of the Bank’s Risk Framework and the continuous identification and assessment of risk, Santander seeks to ensure that all of our businesses operate inside of clearly established limits, are able to proactively quantify exposures, and take corrective action when required. As a member of the Risk Management division, you’ll be part of a diverse team of talented professionals who interact with senior risk team personnel, business managers and other Bank disciplines in order to understand business operations and dynamics, and analyze, monitor, and manage related risks.
The individual will apply modern methods and techniques using internal and external data for risk assessment and quantify risk exposures, and take corrective action when required in line with the Banks Risk Framework
As a member of the Business Banking Risk Management division, the individual will be part of a diverse team of talented professionals who will interact with senior risk leaders, business managers, and other internal and external partners, and provide credit risk support for Business Banking portfolio.
Duties and Responsibilities:
• The BB Credit Risk Analyst will be responsible for developing and optimizing BB lending (product includes term loans, working capital line of credit- secured and unsecured, business credit card, equipment financing, SBA, etc.) risk strategies and evaluating their performance continuously and make adjustments as needed
• The role will also be responsible for providing analytics support across credit risk lifecycle initiatives: originations, line management, portfolio/customer risk management, capital risk management, and collections & recovery.
• This includes leading and/or overseeing credit scoring/risk rating model development and BB transformation projects in support of key risk strategies.
• The incumbent will apply their credit risk expertise and analytical skills to drive sustainable and profitable growth strategies across Business Banking client continuum (covering micro businesses to medium businesses up to $25MM sales turn over) ensuring that they are operating within the boundaries of the credit risk appetite and banks credit policy and standards.
• Performing granular analysis with attention to details overcoming small data sample challenges is important to the success of this position.
• The position requires application of quantitative and qualitative methods taking into consideration of Business Banking Risk dynamics and provides effective challenges on credit performance, emerging risks and business conformity with Banks credit policy and standards
• The analyst will lead and work as part of cross-functional teams (product, credit operations and finance) across the Bank and deliver quality results working in multiple projects and assignments at the same time. The ideal candidate will have demonstrated experience with any and all of the following: credit decision engine packages, statistical techniques, statistics software packages, small business/commercial risk assessment, retail and wholesale capital calculations, and data mining techniques.
• Depending on the expertise and experience, the candidate will be engaged in the implementation of credit decision engine projects (origination and portfolio management), ensuring all credit risk strategies are implemented in line with expectations
• Will also support business intelligence initiatives in risk reporting and MIS capabilities
• Domain support for Model Risk, Loss Forecasting, Capital Optimization/Management and ERM framework.,Ad-hoc analytics support including tracking and managing portfolio risk performance in line with Banks credit policy and stated Risk Appetite objectives
• Developing and deploying BB credit risk predictive solutions and market leading strategies to improve automation, efficiencies and lending experience for the entire customer risk life cycle
Qualifications:
• Masters or Ph.D. or Equiv exp w/emphasis in Math, Information Systems, Computer Science, Engineering, Statistics, Data science or rel quant or stat/data analysis or op research or decision mgmt
• Ability conceptualize and execute analytical work based on broad business objectives
• Ability to work with large scale data to derive insights through data analysis, optimization or risk classification algorithms
• Excellent oral and written communication skills and ability to effectively communicate results to IT and other business (nontechnical) professionals
• Exceptional problem solving, organizational and process improvement skills
• Knowledge of logistic regression, classification algorithms, credit risk scoring, decision management in banking or credit card industry,Knowledge of retail and commercial credit policy, capital risk (PD, LGD and EAD) modeling in retail or commercial portfolio preferred
• Predictive tools including regression, optimization/decision tree algorithms, SAS, Scoring/Decision Support System, Credit Risk
• Capital Calculations, BASEL framework
• Strong analytics background with attention to details to deliver quality results