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KeyBank · 1 month ago

Quant Analytics Lead Associate- Trading & Counterparty Risk Analytics

Cleveland, OH

Full-time

Onsite

Entry, Mid Level

$71K/yr - $122K/yr

2+ years exp

KeyBank is a financial institution seeking a Lead Quantitative Analytics Associate for their Trading & Counterparty Risk Analytics team. The role involves developing and validating predictive and machine-learning models to address specific business needs, while conducting quantitative analysis on large data sets and collaborating with business partners to improve models and processes.

Banking

Responsibilities

Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy

Support the working group by identifying types of information needed for analysis or to inform business questions create data structures/transformations to be leveraged by groups for analysis

Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need

Use critical thinking to use the right approach for each problem statement

Anticipate business need and make continuous improvements to models and processes

Qualification

Statistical analysisMachine learningData literacyModel buildingSQL/NoSQLPython/R/SASCloud computingCritical thinkingBusiness acumenCommunicationLeadershipProblem solving

Required

Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 2 years of relevant experience; 1 with Master's or PhD

Understanding of and ability to create data structures / transformations

Understanding of and ability to identify and capture different types of information for business needs or necessary for analysis

Understanding of and ability to implement data controls

Understanding of and ability to perform hypothesis testing / root-cause analysis

Understanding of and ability to leverage and anticipate considerations in implementation

Advanced Microsoft Office Suite

SQL/NoSQL knowledge including relationship data structure and selecting and retrieving data including unstructured data retrieval, archival, and ETL

Advanced Python/R/SAS knowledge including databases, efficient coding, and building strong code controls and translating code into high-level commentary

Understanding of and ability to leverage cloud-based computing

Understanding of and ability to leverage distributed computing

Understanding of model use, requirements, and implementation needs

Understanding of Model Risk Management process and foundations

Understanding of testing for deterioration and model health

Understanding of scale and fundamental concepts of Machine Learning

Understanding of how statistical measurements are used

Understanding of advanced data techniques for modeling frameworks

Ability to produce and identify information through statistical analysis

Ability to effectively explain model insights to peers and analytics community

Ability to identify preferred approach given the problem statement

Some self-direction, likely will need some guidance and supervision; Starting to anticipate possible business problems – improving something that already exists

Developing relationship building and interpersonal skills; Partnerships and influence typically at peer or 'working group' level; Building influencing skills; demonstrated in area of expertise or assigned LOB

Understands business partner strategy and the business of banking at a high level; Asks the right questions; Understands upstream and downstream impacts

Demonstrates critical thinking; Analyzes, identifies and recommends appropriate solutions to moderately complex problems; Can translate data and answer the 'why' question; Starting to understand impacts / intersections with others

Solid writing skills; Can cohesively present and organize information in support of findings and recommendations; Demonstrates confidence in communicating a message (typically narrow in scope); Can tell a compelling story with data and information; Emerging presentation development and delivery skills