Data Scientist Lead- Financial Crimes Model Development_

Columbus

**Position Overview**

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success.

As a Data Scientist Lead within PNC's Balance Sheet Analytics & Modeling organization, you can be based in Pittsburgh, PA, Cleveland, OH, Cincinnati, OH, Columbus, OH, Birmingham, AL or Houston, TX. Responsibilities require time in the office or in the field on a regular basis.  Some responsibilities may be performed remotely, at manager’s discretion.

As a Data Scientist Lead within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm’s account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies. You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models.

Specific responsibilities for this role include (but are not limited to):

• Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets.

• Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation.

• Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts.

• Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders.

Required qualifications:

• Master's degree or higher in a quantitative field

• Experience with data mining, and data preparation for ML models including EDA, data transformations and preprocessing.

• Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling.

• Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms.

• Strong programming skills in Python, PySpark, R, SAS, and/or SQL

• Familiarity with big data technologies like Hadoop, Spark, Hive, Impala etc.

• Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model.

• Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems.

• Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners.

• Proven ability to lead and mentor other data scientists.

• Ability to manage multiple projects simultaneously.

• Strong teamwork skills and ability to work across different departments.

Preferred qualifications:

• Master’s degree in Statistics or Econometrics

• Experience in banking/ financial services

• Experience with anti-fraud and/or anti-money laundering modeling

• Hands-on experience building various types of AI/ML models, including neural networks.

Strongly Preferred qualifications:

• PhD in Statistics, Applied Statistics, or Econometrics

• Experience with cloud platforms like AWS, Google Cloud, or Azure

**Job Description**

+ Directs and consults on analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.

+ Directs the data gathering, data processing and data mining of large and complex datasets. Provides deep technical expertise to advance the data science capabilities of analytics teams.

+ Serves as a representative of PNC; understands the needs and challenges PNC is facing and provides thought leadership around data science activities both internally and externally.

+ Supervises the implementation of advanced analytics projects, and as an expert in the field, helps other data scientists present the analytical processes and outcomes to management.

+ Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

+ **Customer Focused** - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

+ **Managing Risk** - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

**Qualifications**

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

**Competencies**

Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools

**Work Experience**

Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

**Education**

Masters

**Certifications**

No Required Certification(s)

**Licenses**

No Required License(s)

**Benefits**

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility*: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit pncbenefits.com > New to PNC.

_*For more information, please click on the following links:_

Time Away from Work (ncbenefits.com/timeaway.html)

_PNC Full-Time Benefits Summary_

PNC Part-Time Benefits Summary (ncbenefits.com/ft-benefits-overview.html)

**Disability Accommodations Statement**

If an accommodation is required to participate in the application process, please contact us via email at [email protected] . Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

**Equal Employment Opportunity (EEO)**

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

**California Residents**

Refer to the California Consumer Privacy Act Privacy Notice (ncmc.com/live/pnc/aboutus/HR/Onboarding/PNC\_CCPA\_Privacy\_Disclosure\_Employee.pdf) to gain understanding of how PNC may use or disclose your personal information in our hiring practices.