Santander · 15 hours ago
VP, Credit Risk Review Data Scientist
Santander is a global leader and innovator in the financial services industry, evolving into a technology-driven organization. The VP, Credit Risk Review Data Scientist will be responsible for enhancing and maintaining credit risk applications, ensuring smooth operations, and building new applications to analyze portfolios and risks.
BankingCommercial LendingFinanceFinancial ServicesPersonal Finance
Responsibilities
Maintain and, as and when needed, refine and enhance Credit Risk Review’s (“CRR”) existing applications, including as CRR’s methodologies change and when technological capabilities advance
Ensure the smooth operation of all CRR-specific applications with timely and accurate reporting and output for processes that are “Self-Service” as well as periodic reporting from applications that are dependent on the incumbent’s expertise
Build new applications to advance CRR’s ability to both analyze portfolios and risks as well as the ability to analyze results from CRR’s reviews and continuous monitoring
Extract portfolio data elements from the bank’s systems of record / data warehouses
Decipher and organize key portfolio data elements into a format which is understandable and usable by Credit Risk Review (CRR) team-members
Data-mine large amounts of portfolio information using Microsoft Excel, Python, SAS, SQL or other tools
Innovate, enhance and as needed, build new applications to support advancement of CRR’s analytical capabilities to identify themes, trends and emerging risks
Where possible, devise solutions to reduce CRR’s residual manual dependencies
Qualification
Required
Bachelor's Degree, preferably in Data Science, Data Analysis or equivalent field, or equivalent quantitative experience
7-12 Years' banking experience, preferably concentrated in Data Management or Data Analytics functions
Experience with Microsoft Tools and Power Platform preferred (SharePoint, Power & Automate) as well as with Microsoft Excel, SAS, Python, SQL
Ability to write code to facilitate the extract of key data elements from the bank's various data warehouses/data marts, interpreting the elements/attributes of the data
Detail-oriented and ability to work independently with limited supervision
Strong modeling and data manipulation skills
Understanding of credit risk concepts and drive to grow expertise
Ability to interact and communicate effectively across the organization
Strong written and verbal communication skills; communicate in a timely and straightforward manner
Strong time management and organizational skills
Team-player and follows through to meet commitments to others
Takes responsibility for achieving strong results and delivering on-time while flexible and able to balance multiple complex demands
Preferred
CFA (Chartered Financial Analyst): Finance certifications desired - Preferred
Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education
Experience in Microsoft Office products
Company
Santander
Banco Santander is a banking firm that specializes in various banking services including retail, commercial, digital, & investment banking.
Funding
Current Stage
Public CompanyTotal Funding
unknown2013-05-30Post Ipo Equity
1987-08-07IPO
Leadership Team
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