Quant Analytics Associate Market Risk

Location:

Under direct supervision the Quantitative Analytics Associate is primarily responsible for using statistics advanced mathematical techniques and/or computer science to support the development and validation of predictive and machine-learning models for specific business needs. The Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as What will happen next and What will we do. Projects undertaken by the Quantitative Analytics Associate are often broad in scope across multiple business segments and involve evaluation and testing on existing data with substantial team support. Success factors include: timely and effective completion of tasks assigned by manager under significant supervision; building functional knowledge in analytical programming languages data literacy and model development; developing communication skills business acumen and critical thinking; and establishing relationships with the working team.

• Conduct quantitative analysis on large data sets with manager and team support
• Identify common data errors and their impact
• Employ basic best practices for evaluating large data
• Answer key business questions through exploration and discovery
• Find patterns or anomalies by building out visualizations
• Execute basic diagnostics testing under supervision (e.g. performance testing assumption verification and impacts of limitations)
• Tests under supervision suitability / sufficiency for approach (e.g. representativeness)

• Bachelors degree (or its equivalent) in statistics mathematics economics financial engineering data sciences predictive modeling or other quantitative disciplines and at least 1 year of relevant experience; 0 with Masters or PhD

DATA LITERACY

• Understanding of:
  • Data wrangling including information documentation and importing data from different formats
  • Descriptive statistics random variables common distributions outliers
• Ability to consume explore and evaluate big data; can leverage this skill to inform business questions

TECHNOLOGY & TECHNIQUES

• Advanced Microsoft Office Suite
  • Navigation shortcuts use and share spreadsheet documents
• Python/R/SAS:
  • Perform IDE walk-through; shortcuts
  • Connect to data bases
  • Use functions such as classes variables lists and classes
  • Program files modules and libraries

MODEL BUILDING & MAINTENANCE

• Familiar with concepts and usage of Data Leakage Training Testing and Validation Sets for model building
• Able to perform basic diagnostics testing
• Understanding of:
  • Foundational statistical / measurement concepts methods and techniques
  • Basic uses scope features benefits and risks of available modeling methods)

• Leadership: Works under general direction / supervision; may work independently but often needs ongoing guidance and support
• Partnering / Influencing: Limited business partner interaction work typically assigned by manager; Developing relationship building ability and interpersonal skills; Engage and interact mostly with immediate team and peers; Developing influencing skills
• Business Acumen: Developing basic understanding of business partner strategy; Building financial acumen
• Critical Thinking / Problem Solving: Developing critical thinking skills; Can analyze simple issues with low complexity; Can give perspective to the team addressing basic business/analytical problems and challenges; Recognizes need to escalate issues in a timely manner
• Communication: Basic writing skills; beginning to develop ability to organize information in clear consistent format; Typically needs assistance with articulating a clear well-thought out message and formal delivery; Minimal skills in creating PowerPoint presentations; limited formal delivery

COMPENSATION AND BENEFITS

Please click here for a list of benefits for which this position is eligible.

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