Become an integral part of our Business Banking team! Each day will be unique – bring a positive attitude, entrepreneurial spirit and get ready to roll up your sleeves. This position is an essential part of the team and will have exposure to several aspects of running a banking office.

Job Summary:

As a Quant Analytics Associate Sr. in Business Banking,  you will be responsible for scanning across large multi-platform data ecosystems, research data patterns, and build automation solutions, analytics framework, and data consumption architecture used by Decision Sciences, Product Strategy, Finance, Risk and Modeling teams.  You will be analytically/technically strong with experience in financial services, preferably serving the small business banking or commercial banking segments.

 Job Responsibilities:

Effectively partner, collaborate, and communicate across lines of business, functional groups, stakeholders, analytics, controls and technology; Develop strategic data solutions across disparate product domains, platforms and technologies; Apply data controls, security and operational monitoring in solutions development; Build trusted relationships in a matrixed environment; Solve problems - have tenacity in finding answers, problem structuring, and having a point of view; Remain flexible and adaptable to change ; Take direction well but also able to work with limited supervision; Have a passion for data and analytics, and how this information can be used to drive business innovation. Migrate Small Business Data to Public Cloud (AWS and Snowflake) Partner with Data Owners and D&A Leads to understand data roadmap that support analytics needs; Support data integration projects with external data providers into our systems;

 

Required qualifications, capabilities and skills:

3+ years of analytics, business intelligence, data warehouse, data architecture, or data governance experience Master’s or Bachelor's degree in related field (e.g. Data Analytics, Computer Science, Math/Statistics or Engineering) with 3+ years’ experience in related discipline Demonstrated understanding in programming languages such as: SQL, SAS, Python, Spark, Java or Scala Experience building relational data models in multiple technology platforms (Teradata, Oracle, Hadoop or Cloud e.g. AWS, GCP, or Azure)  Hands-on experience in researching, testing and developing automated data processes including building a common framework to drive consistency and coding best practices Excellent documentation and communication skills both written and verbal Excellent time management, multi-tasking and prioritization skills including ability to self-manage Experience with internal controls and compliance with regulatory and contractual obligations Experience working with data visualization and presentation tools Knowledge of how to appropriate classify risk of data to tag for access management Ideally knowledge of Business/Commercial Banking products and services, including deposits, lending, cash management, credit cards and merchant services 

 

Preferred qualifications, capabilities and skills:

Experience in Big Data and Cloud platforms (Hadoop, Teradata, AWS, GCP, Azure) Experience in using data wrangling tooling (SQL, SAS, Alteryx, Python, Spark, Java, Scala, Snowflake, Redshift, Databricks) Experience in dynamic and interactive reporting/visualization applications such as Tableau Proficient in standard data architecture, data extraction, load processing, data mining and analytical methodology (e.g. logistic regression, match pairs, and neural networks)  Proficient in scheduling job workflows using software such as Control-M or Alteryx Scheduler Working knowledge of code versioning software (e.g. Bitbucket) and document change management/workflow software (e.g. JIRA, Confluence)