Job Description

JP Morgan Asset Management is a global investment manager with over $1.4 trillion in assets under management.

The Operations technology team is a global team, with technology staff in NY, Delaware, the UK, the Far East and India. The team is responsible for supporting all functions of the Operations business Trade settlement and confirmation, portfolio accounting, cash management, reconciliations, fee billing, compliance and regulatory reporting, etc. To support these platforms, the organization has invested heavily in a number of strategic programs to support a complex and demanding business. As part of the evolution of the group, the team is aggressively exploring machine learning and artificial intelligence to streamline and automate processes. The team is seeking a strong developer to build and apply machine learning to automate and transform processes. Please note that this role will entail partnering with Operations, other business lines and Technology members.

Responsibilities:

* Build and implement Machine Learning to automate and transform business processes. This includes helping to define the long term strategy for the Machine Learning, including scoping use cases and practical examples of ML and AI
* Drive transformational change, through ML and AI, within the Operations space
* Analyze source data and data flows, working with structured and unstructured data
* Work with the operations team, the business, technology teams, and technology management to identify and execute against planned demand
* Partner with the business group and technology teams to understand business drivers and then design and architect the appropriate technology solutions to satisfy the business drivers
* Validate/recommend technology solutions

Environment

The work environment is one of conflicting demands and tight deadlines. The successful candidate will need to be able to juggle multiple projects with frequent changes in priority.

This requires the ability to interact effectively with the following types of stakeholders:

* Clients. These could be business, operations users or other technology groups who are dependent on the groups application and data. The ability to manage this groups expectations is important as is the ability to manage the balance between tactical and strategic solutions in a fast paced environment.
* Other technology groups. The candidate will need to work effectively with technologists across Investment Management and Infrastructure. The candidate must successfully partner with and influence other technology leaders.
* Team members. This position calls for the management of a technology organization within the context of a global Operations organization. The successful candidate will demonstrate the ability to motivate technologists with different skill sets, levels of expertise, and relationships to the organization and locations.

Skills:

The following technical skills are required;

* 6+ yrs total experience, 3+ years of experience in AI technology systems integration project delivery
* Extensive hands-on experience with Machine Learning patterns (NLP, Pattern Recognition, Anomaly Detection, Clustering, Neural Networks). A mathematical, statistical and probability inclination and deep understanding of these concepts.
* Hands on experience with C/C++, Python, Scala, R or any proficient AI language
* Clustering techniques such as k-means, decision trees or random forests
* Regression techniques, both linear and nonlinear
* Machine learning techniques including supervised and unsupervised models
* Strong Experience using an opensource framework such as TensorFlow. Solid understanding of underlying concepts of the framework to understand/enhance the inner workings of an AI framework of choice.
* Knowledge of Big Data. This includes database design (physical and logical). Experience working with large scale distributed systems (Hadoop, Spark).
* Delivery of a previous AI based project with success and failure stories from production scenarios, with a good sense of lessons learnt.
* Demonstrated ability to interact with global teams made up of development, business analyst and project management support staff across multiple locations.
* Ability to work with the line of business, technology partners, senior management, and the rest of the AM organization globally to articulate a vision, identify demand to satisfy the vision, define projects that meet the demand, and then efficiently execute to the plan.
* See the forest from the trees and engage with the technology organization to make the technology team more effective
* Strong understanding of SDLC and experience with Agile Development Methodology
* Strong written and verbal communication skills
* Should have a professional attitude and be able to provide effective technical direction and mentor/lead the team by example.
* A proactive attitude and willing and eager to learn.
* Ability to work under pressure and manage multiple activities at the same time.

Business Knowledge

* The successful candidate will demonstrate a strong financial background, including a strong working knowledge of products, trade lifecycle, assets, and referential data, with specific Operations functional knowledge a plus.