Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.
Our team delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. Our group one of the pre-eminent investment management organizations globally. Critical to the success of our group is our ability to leverage a global team of talented professionals to define solutions and lead change across the operational infrastructure.
This team is looking to expand its presence in New York with the addition of a senior data scientist and machine learning engineer. The team is responsible for building and deploying a world-class information management platform. This role will offer challenging opportunities for performance-driven growth in a team oriented environment and includes direct exposure to multiple businesses.

Job Responsibilities

Leverage machine learning and natural language processing to provide semantic intelligence to our software platforms
Actively participate in all phases of software development lifecycle: analysis, technical design, planning, development, testing, release, production support
Build partnerships with research analysts and portfolio managers to drive efficiency in their use of our research technology platform
Work closely with technology and strategy teams across the firm to build high quality, secure, and maintainable systems using approved tools and software development practices
Develop deep Investment Management business knowledge; interact with business functions and technology teams across the group and the firm is one of the world’s leading asset management institutions. The firm delivers innovative investment solutions on a global, multi-product platform. Our products include Hedge Funds, Private Equity, Fund of Funds, Quantitative Strategies, Fixed Income, Fundamental Equity and a Global Portfolio Solutions Business. The Firm’s Technology is directly aligned to the business. Software is engineered in a fast-paced, dynamic environment, adapting to market and customer needs to deliver robust solutions in an ever-changing business environment. The Firm’s Technology builds on top of cutting edge in-house platforms complimented with a strong focus on leveraging open source solutions, Engineer tools and services that bring unification and scale to Asset Management division, providing solutions that span Sales, Client Servicing, Research, Portfolio Management and Trading.


Quantitative Systems


Basic Qualifications:

Extensive knowledge of natural language processing and machine learning techniques and ability to apply them at a professional level
Proficiency in multiple programming languages including Java and Python, willing to learn new languages as needed
High degree of proficiency in data analysis and preparation techniques
Strong quantitative skills with the ability to apply both simple and complex statistical methods
Extensive knowledge of natural language processing and machine learning techniques and ability to apply them at a professional level
Experienced in imperative, functional and object-oriented programming paradigms and know when to use which
Focused on developing scalable solutions that solve a particular problem, but are generalized to the right level such that the same solution can be applied to other problems
Embrace test-driven development and other agile techniques in order to produce quality software. Constantly try to improve existing systems / architecture
Keep on top of the latest advancements in software development
Willingness to join a small team of like-minded, quality focused professionals in a fast-paced environment with high focus on product delivery and constant innovation where you will be able to make a significant impact to the overall platform

How to apply:

Please mention NLP People as a source when applying


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