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Ccb Risk
7 days ago
You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities.
Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
The Model Delivery as a Service (MDS) Team is looking for a talented, highly motivated individual with strong data analysis and strategic thinking skills to support advanced analytics projects across all Lines of Business in CCB Risk.
MDAS is part of the CCB Risk Modeling and Architecture Organizations with primary responsibilities to implement risk based models for CCB Risk.
We work collaboratively with all functional teams across CCB Risk as well with Corporate Technology teams and Business strategy teams across CCB as well.
You will be a key contributor in all aspects of the MDS Team and will be working in an agile project framework.
One of your key cornerstones is the ability to adapt and quickly learn the business needs throughout the entire modeling implementation process.
You will lead all quality assurance and testing effort that the team works on and will get an opportunity to guide junior team members.
You will ensure that the documentation and archiving of all relevant artifacts of the validation done is maintained in an orderly manner for audit purpose.
- Import, clean, transform and validate data from multiple sources and systems (Teradata, Oracle, Hadoop,) in preparation for analytics and/or modeling
- Have an understanding of Python, PySpark and Hadoop with a willingness to become an expert in Big Data and Machine Learning processes.
- Build and develop ProofofConcept machine learning outlier detection systems to run in Hadoop using Python/PySpark or JAVA/Scala.
- Oversee and validate production processes as they are being developed and implemented.
Minimum Skills, Experience and Qualifications
- 8+ years of experience doing handson data analysis
- Technical expertise regarding data models, data analysis, and segmentation techniques
- Experience with Business Intelligence and analytical tools such as Tableau, SAS, Python, HUE, Hive, Impala, etc
- Selfsufficiency in querying and extracting data from Enterprise databases (Teradata, Oracle, Hadoop,)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Ability to present factbased recommendations in a clear, logical, and concise way; "tell a story" with data
- Superior written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
- BS in Mathematics, Economics, Computer Science, Information Management, Statistics, Engineering or related quantitative discipline preferred
Additional Skills, Experience and Qualifications
About Us
Across JPMorgan Chase, we serve millions of customers and many of the world's most prominent corporate and government clients.
Our mission is to build a stronger, more equitable economy, and we strive to make a positive impact everyday with our customers in their communities.
We are proud of our reputation as one of the world's most admired companies and we know that it's our people who make us successful.
We are committed to a diverse and inclusive workplace where our employees are welcomed, valued and able to bring their authentic selves and best work forward.
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.
Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
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