Bank of America Quantitative Finance Analyst in Chicago, Illinois

Job Description:

The Counterparty Credit Risk Analytics (CCRA) function sits within the Global Risk Analytics (GRA) department. CCRA is a model development group responsible for the derivatives credit exposure measurement platform of the bank, used across credit risk control, credit valuation adjustment and regulatory capital.

Within CCRA, the Model Performance and Exposure Explain team (CCRA-MP&EE) is responsible for all ongoing monitoring and analysis processes to assess model usage, model accuracy and the overall performance of the CCR exposure platform – with the objective of explaining CCR exposure movement, quantifying issues impacting these exposures and working with the Credit Risk and Wholesale Credit Risk Officers to agree an action plan where this exposure change has breached risk appetite limits.

Responsibilities:

  • Performing in-depth daily analysis into the bank’s counterparty credit risk (CCR) exposures.

  • Portfolio analysis at the global and legal entity level.

  • Identifying and explaining the key drivers of exposure levels and day on day movement.

  • Working directly with the Credit Risk Officers to assist them in using this analysis to make better limit utilization decisions – liaising also with sales and trading as appropriate.

  • Raising issues with upstream data providers where necessary – along with quantifying impact.

  • Working with the wider CCR model performance team to identify and quantify model limitations resulting from our exposure analysis.

  • Performing longer term trend analysis across our CCR portfolios to pick up systemic themes.

  • Working with the wider GRA global markets model performance team to leverage insight into significant market movements and how these are driving our exposures.

  • Assist in the production of communication materials for senior management, governing committees and regulatory bodies.

Required Skills:

  • Previous experience (3-5 years) in a related field (Counterparty Credit Risk, Market Risk etc).

  • Experience in data analysis, with strong research and analytical skills.

  • Broad financial product knowledge.

  • Master degree and above, preferably in quantitative finance or a quantitative field.

  • Strong written and oral communication, interpersonal and organizational skills and ability to build and maintain relationships with personnel across areas and regions.

  • Strong work ethic and ability to drive results.

  • Ability to multitask with strong time management skills.

  • High level of attention to detail.

Desired Skills:

  • Experienced in Front Office trade support.

  • Strong programming skills (Python, SQL, Tableau).

Posting Date : 09/21/2017

Location :

Chicago, IL, 135 S LA SALLE ST (IL4135),

  • United States

Travel : Yes, 5% of the time

Full / Part-time : Full time

Hours Per Week : 40

Shift : 1st shift

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