• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 31st Jul 2023

1-2 days a week onsite, if further from an office location (1.5 hours, 4 days a month in office)
Remote: No
Potential for Contract Extension: Yes If yes, details (intended length of extension): 12 month budget and can be extended based on project need
Working Hours (Flexible): Yes within core bank hours
Travel: Yes details: case by case

Project/ initiative
Financial Crime Modeling team (Anti Money Laundering/ Sanctions)

Organizational Structure And Impact:
impact this role has within the bank/LOB AML
function the group supports from an LOB perspective:
11 different applications in regards to AML

Team Background and Preferred Candidate History:
Industry background the team is comprised:
financial background (AML, Fraud, Sanctions) Large experience

Candidate preferred industry background:
Would consider diverse backgrounds if their tech skills are exceptional

Candidate Technical and skills profile:

Education/Experience:
Master of Science degree in computer science or in a relevant field or equivalent work experience required 
8+ years of relevant experience required.

Key Experience:
6+ years of financial solutions architecture, software development, data engineering, data science or business intelligence engineering experience with minimum 3 Years recent hands-on experience in PySpark 
3+ year of experience with Machine Learning code development 
Deep knowledge of Hadoop ecosystem and Big Data technologies such as Spark, Hive, Hbase, Oozie, Kafka, YARN, SLURM 
Spark query tuning and performance optimization 
Experience and good understanding of Apache Spark Data sources API 
Advanced experience in Python and common python libraries/ Scala/ Java 
Strong analytical experience with database in writing complex queries, query optimization, debugging, user-defined functions, views, indexes, etc.
Strong working experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools.
Experience working with Microservices, Rest API and Oauth 
Experience working with one or more Agile development methods 
proven consulting and delivery leadership in data transformation, data modeling, data analytics, data visualization and/or data science

Must have technical skills/experience (ask for alternative/tool/version):
Hadoop
Pyspark/ Python
Graph database (Neo4J)
Databricks (1 Azure, 2 AWS, 3 Google)

Flex Skills:
2+ years of experience with a public cloud (AWS, Microsoft Azure) 
4+ years of experience with NoSQL implementation (Mongo, Cassandra) 
1+ year of experience with process orchestration including AirFlow, KubeFlow 
Data lake and Delta lake experience 
Familiarity with Metadata Management, Data Quality frameworks and Data as a Service concepts a big plus 
Banking or financial services experience is a big plus

Soft skills that would make a candidate successful in this role:
• Demonstrated leadership abilities with track record of driving results through cross-functional organization 
• Ability to manage multiple projects with tight timelines 
• Highly motivated, self-directed 
• Strong analytical and problem-solving skills, written and verbal communication skills, and project management skills

Degrees or certifications for the candidate to be successful:
• Bachelor's degree in Computer Science, Engineering, Statistics or other quantitative subject

Role Differentiator:
PNCs first vendor independent modeling strategy for all financial crime modeling and platform, technologies looking to be explored are leading in the industry

Logistics:
Interview process: will need to share IP address (if local to Pittsburgh in person is preferred)
1- Video with manager
2- Case study
3- Video with senior management