You are a strategic thinker passionate about driving solutions in  Analytics and Data Science  (CECL and CCAR Modelling) . You have found the right team.

As an Associate in Quant Analytics within our MIS and Platforms team, you will be responsible for defining, refining, and achieving the set goals for our firm on a daily basis.

Job Responsibilities:

Scope, prioritize and co-ordinate activities with Credit CFO Finance Team Run the quarterly mortgage stress testing model (e.g., CCAR), create associated reporting & analytics, and present results to managementRun quarterly CECL reserve setting model and analyze key drivers of quarter-over-quarter variancesActively help determine the loss forecasting results and drivers. This information will be presented to executive management and other internal clientsLead advanced analyses to assess relationships and patterns driving loss performancePerform ad-hoc analysis and gain comfort in credit costs results for credit risk leadership team and understand and explain modeled results from mortgage credit analyticsActively interact with the Stress Testing Modelling team to understand, develop and enhance forecast frameworks for the mortgage businessParticipate in cross-functional communications with Risk Management, Finance, Credit Risk Modelling TeamDesign and develop data mining queries from large data sets (Both Structured and Unstructured). Experienced in conversion of data into informationProficient in Visualization and storytelling which can make an  impact to the business

Required qualifications, capabilities and skills

Self-starter, attention to details and results orientated, able to work under minimal guidance.Uses pertinent data and facts to identify and solve a range of problems within area of expertise.Proficient in stress testing models/methodologies and CCAR scenario forecast. Hands on experience with pandas and Spark/PySQL  stack. Experience on building data  extraction pipelines and working with large data sets in a big data environmentExperienced on   SQL (Snowflake, Databricks),  Python, MATLAB, R and Tableau. Having mandatory experience in exploratory and regression data analysisAdvanced degree in a quantitative discipline (e.g. Economics, Finance, Statistics).  Different field of study, with significant professional experience in Analytics(CCAR/CCEL Modelling)  is acceptable Proficiency in Microsoft Word, Excel, PowerPoint, to clearly present analytical findingsExperience Required: Minimum 3 years with exposure to Fixed Income and/or Credit . Excellent communication skills – both written and oral – with the ability to communicate clearly and confidently with all levels of managementStrong collaborative, teamwork ethic. Utilize judgment and discretion in working with highly confidential information