Data Science/Machine Learning Engineer Data Science/Machine Learning Engineer …

J.P.Morgan
à Jersey City, NJ, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
J.P.Morgan
à Jersey City, NJ, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
Data Science/Machine Learning Engineer
We are a team of data engineers, dataanalysts, and data scientists supporting the Treasury Services business todevelop new products. Our product team, data design, specializesin designing new products by utilizing the huge amount of data in TreasuryServices. This exciting rare opportunity is to work closely with thebusiness to develop data products that can bring in high revenues directly tothe business. We partner closely with the highly skilled data scientistsspecializing in machine learning and data visualization. The productdesigners and strategists work directly with external banking clients as wellas internal users to transform the way we do business today.

What we build mattersand will have huge impact; our products and solutions will reach thousands ofour clients around the world, and affect how J.P. Morgan does business, movingtrillions of dollars a day. Our group will also work closely with FinTech teamsto find emerging tech companies that can help us accelerate development of newproducts.

Job Description:

New technologies,analytics and business models are emerging with the potential to radicallytransform financial services. You will be at the leading edge inside thecompany driving change. You will:

•Manipulate andanalyze complex, high-volume, high-dimensionality data from varying sourcesusing a variety of tools and data analysis techniques

•Become an expert inhow money moves through J.P. Morgan's core payments infrastructure, tools,systems and data.

•Develop deep subjectmatter expertise in the wide range domains in payments and liquidity to supporta diverse set of products

•Invent creative andinnovative ways to answer key business questions by leveraging existing dataassets or creating new ones. We move 20% of US$ around the globe everyday. The possibilities with this data are endless.

•Collaborate withproduct managers, data scientists, engineers, end users, and other stakeholdersto integrate data discoveries and processes into operational capabilities

•Be a datastoryteller, deliver practical data insights in a compelling manner to seniorleadership. Articulate findings clearly and concisely includingpresentations, discussions and visualizations.

We are looking for hardcore engineers who are verystrong technically with an open-minded, dynamic and critical thinking. They will work in fast-paced business / front-office type of environment. They should have the go-getter personality, very motivated, passionate aboutdata, creative, strong analytics skill and able to accept new ideas and adoptnew tool. They are fast learner who canpick up new software very quickly, passionate about technology and be ableto drive the solutions end to end for prompt delivery. Ideal candidates would carry a positiveattitude even when working under pressure. We are a team of peopleranging from product designer, data strategist, data scientist, engineers, anddelivery managers who aim to work as one team, complementing each other withthe required skills and explore the unknown together with an open mind.

Required TechnicalSkills:
· Strong Computer Scienceand Data Engineering background.
· Experience in MachineLearning Algorithms and Time Series Modeling.
· 5 to 10 years of SoftwareDevelopment experience with 2 years being Python.
· Experience in Big DataTechnology with Hadoop, Spark
· Expert in one of themajor programming languages: Java, Scala, C++
· Experience in writingMachine Learning algorithms at scale

Highly DesirableSkills:
SparkML, TensorFlow, Panda,NumPy, scikit-learn, NLTK, PySpark, R, Jupyter, Tableau, JPMC Athena, Impala,Hadoop, big data experience, data science and machine learning experience.

Other Skills:
Strong in on-timedelivery. Experience in different SDLC tools. Experience with datamanagement, manipulating large data sets through statistical software and datawarehousing environments processing large volume of transactions.
Cognitive andCommunications Skill - Highly articulate, built upon an underlying fundamentalclarity of thought. Proactive approach to problem solving, taking ownership ofissues and having the determination to follow things through. Generalability to root out fundamental issues, bring order from chaos, synthesizeelegant insights, and drive to clear decisions.
Mindset - Primaryfocus of building something of significance. Willingness to roll up sleeves anddo whatever it takes. Self-confidence and personal presence that inspiresconfidence in others. Intellect, flexibility, and integrity that motivatesothers to trust and collaborate.

Education - Bachelor / Master degree in ComputerScience / Math / Engineering / Science.
Close