Quantitative Analytics Manager

127 Public Square, Cleveland, OH

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Location:

127 Public Square - Cleveland, Ohio 44114

Quantitative Analytics Manager, Analytics Tools & Services – Enterprise Data & Analytics Services, KeyBank

 

Background

The landscape of banking and financial services has experienced incredible change over the last decade. With an explosion of competition driven by FinTechs, more widely-available data, and transparency for customers, traditional institutions have found themselves under immense pressure. This has been felt most acutely in the analytics space, with a distinct need to identify insights about customers in order to deliver superior experiences via best-in-class products. Key recognizes the importance of analytically driven organizations and is committed to building a best-in-class team by investing heavily in talent, tools, and analytical capabilities to accelerate growth.

 

About the Job

KeyBank follows a federated model for meeting its analytical needs, where each line of business owns its analytics and is responsible for generating its own reporting needs. Also, KeyBank has a Center of Excellence (CoE) to fulfill the need for more centralized analytical functions for the bank, which resides in the Data & Decisions organization.

 

We are looking for a dynamic and technically strong Quantitative Analytics Manager, who will be responsible for the design and implementation of strategic reporting that will support the bank’s important reporting needs. This would include the creation of robust data pipelines (in Google Cloud) and data stores (in BigQuery) with proper safeguards and controls that meet governance needs for regulatory and internal audits, monitoring of our data assets to ensure accuracy and integrity of the reports, and the ability to trace the data lineage to its origins.  

 

Essential Job Functions

·       Design and implementation of KeyBank business essential reports that are used by our stakeholders across the bank as well as executives

·       Work with Google Cloud team and Google Cloud partner organizations to implement the reports the appropriate way in the Cloud

·       Write data pipelines in Python, SQL and using Google Cloud native tools such as Data Fusion, DataForm and Vertex Notebooks

·       Ability to orchestrate and automate data pipelines using Cloud Composer (Airflow)

·       Ability to create dashboards (in Tableau or Looker Studio) that create and distribute the reports to the appropriate stakeholders

·       Ability to work with team members from different background in a collaborative environment using the agile development methodology

·       Ability to clearly communicate and articulate, in relatable terms, how a report is created and maintained to the report’s stakeholders

·       Manage consultants and third-party resources and communicate technical goals and objectives

·       Ensure recommended solution is in alignment with the technology roadmap at Key

·       Partner with Data Governance team to understand and implement proper report governance

·       Partner with Data Literacy team to integrate with data lineage, catalogue, and other needed capabilities for the reports

·       Partner with the rest of Enterprise Data & Analytics Services on identified data needs to provide solution options

·       Partner with Technology, and with analytics community, on program management activities to execute proof of concepts on new solutions and/or projects to implement new capabilities

·       Be the thought leader for the analytics portion of Key’s cloud transformation including owning the change management activities

·       Influence diverse teams of managers and/or senior professionals

·       Help strategic ideas take root and provide early facilitation until a more formal project is established

·       Partner with line of business facing analytical teams and technology partners to align initiatives with broader organizational priorities

 

Qualifications

·       Master’s degree (or its equivalent) in Data Analytics, Business Management, Finance, Economics, Engineering, Computer Science, Management Information Systems, or Statistics (or other related field) with 5 years of relevant experience; or Bachelor’s degree (or its equivalent) with 8 years of relevant experience

·       Demonstrated experience in a variety of analytical, modeling, and cloud tech platforms (including tools spanning data ingestion, preparation, visualization, data sciences, data governance)

·       Excellent skills in Python, SQL and equivalent programming languages

·       Demonstrated data visualization and reporting experience with tools like Tableau, Looker Studio, or Vertex AI

·       Ability to extract, manipulate and analyze large and complex datasets

·       Knowledge of data orchestration, particularly with Cloud Composer/Apache Airflow

·       Understanding of data structures, schemas, and data management tools

·       Understanding of data literacy, data lineage and data catalogues

·       Familiarity with the Google Cloud Platform or other cloud platforms

·       Experience translating data into clear narratives and presentations for senior level executives (C-suite level)

·       Demonstrated ability to influence leaders – up, down, and across the organization

·       Ability to develop strong, trusted partnerships/relationships with the leadership team and critical stakeholder groups

·       Courageous – not afraid to express a contrary point of view to a senior business leader

·       Basic understanding of AI and Machine Learning

·       Strong data background

·       Strong technical management experience

·       Excellent communication skills

·       Good team player – the team’s success is your success

·       Execution focus – knows Key and how to navigate the organization to get things done

·       Smart, resilient, strategic thought partner that leads with the business priorities in mind

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $150,000 to $170,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance.

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

Job Posting Expiration Date: 10/27/2024

KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category.

 

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

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Tags: Agile Airflow Banking BigQuery Computer Science Data Analytics Data governance Data management Data pipelines Data visualization Economics Engineering Finance GCP Google Cloud Looker Machine Learning Pipelines Python SQL Statistics Tableau Vertex AI

Perks/benefits: Career development Team events

Region: North America
Country: United States

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