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Engineering Manager – Data Science

J Harlan Group, LLC

Engineering Manager – Data Science

New York, NY
Full Time
Paid
  • Responsibilities

    Engineering Manager – Data Science

    NYC Technology Development Center – Asset Management

    J Harlan Group is currently conducting a search for a Engineering Manager – Data Science at a prominent Asset Manager in their NYC Technology Development Center (TDC). 

    The Data Scientist is a newly created function which has been established to provide digital solutions and leading analytical expertise on new and novel approaches to problems and methodologies to drive customer journeys and content.

    The TDC is working to develop the firm's next generation data distribution platform, with the aim to seamlessly deliver real-time and on-demand investments data to a global network of distributed trading and research platforms. They are employing new paradigms such as cloud computing, lightweight microservices, and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services.

    Engineers / Scientists at this organization are playing a key role in helping build the future of financial services, working hand-in-hand with business partners to create client experiences that are changing the way people invest.

    They’re looking for a Engineering Manager – Data Science to Lead their Data Science teams in Manhattan. They want an Engineering Manager - Data Science with a fresh perspective and who is passionate about solving complex business, data and technical challenges.

    Working with smart, talented people across their business to create groundbreaking, next-generation applications for n-tier cloud architectures. You’ll be involved, hands-on, through the entire cycle. And you’ll redefine the way their traders, portfolio managers and analysts serve their clients.

    They will expect you to be agile / to lead / to think outside the box. In return, they’ll give you challenging work that has an impact / Opportunities to learn and grow / and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that’s how we help our clients succeed.

    Principal Responsibilities:

    • Oversee data-focused initiatives already in place and being developed, and drive developments in advancing big-data and analytic services.
    • Develop and improve methods for measuring the impact of Sales and Marketing content driven campaigns.
    • Establish measurement approaches to assess relative performance of advertising strategies within our sales and marketing channels.
    • Access the validity and rigor of new data sources and approaches, and the capabilities of potential solutions.

      The ideal candidate would have a background:

    Core Attributes:

    • Ideal candidate will have strong collaboration skills as well as possess the technological, statistical, mathematical, predictive modelling and business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.
    • The incumbent will be expected to develop attribution, segment and predictive models to support customer acquisition strategies, primarily for digital channels.It is expected this will be accomplished through pilot, test and learn delivery practice to support a wide range of services and projects in the distribution and sales channels.
    • Equally important to possessing strong technical skills, the ideal candidate will be a strong communicator able to communicate their findings, orally and visually.They need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.
    • Focused on delivering value to the business with relentless efforts to improve process.
    • Exceptional technology skills; recognized by your peers as an expert in your domain.
    • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches.
    • Seeks data from, gains opinions on industry trends, issues and solutions.Formally or informally benchmarks technological processes, vendor experiences and priorities against other organizations in the industry.Takes appropriate actions as a result.

    Required Technical Experience:

    • A thorough understanding of applied statistics including sampling approaches, causal modeling, time series analysis and data mining techniques
    • Experience in working with large structured and unstructured data sets
    • Fluency in the languages of data manipulation (e.g. SQL) and statistical analysis (e.g. R or Python/NumPy), with ability to code (e.g. PHP) a plus, Java, Ruby, Clojure, Matlab, Pig or SQL
    • Understanding of Hadoop, Hive and/or MapReduce
    • Natural Language Processing
    • Machine Learning
    • Conceptual modelling
    • Statistical analysis & Predictive modeling
    • Hypothesis testing

    Required Domain Experience and Soft Skills:

    • Ability to successfully partner and communicate with all levels of an organization
    • Ability to collaborate and communicate effectively both with IT, with business management and a demonstrated ability to influence and impact the business
    • Strong interpersonal skills and ability to forge relationships resulting in successful partnerships
    • Strong negotiation skills, business acumen and customer focused
    • Confident communicator; able to argue a point concisely and deal positively with conflicting views
    • Enthusiasm for learning & results oriented

    Required Education:

    • Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science, Statistics, Mathematics, Engineering or Physics)

    An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for application development, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services.

    About the Client:

    The firm is a publicly owned global asset management firm with $800 billion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries.

    The talent and dedication of their people is critical to their success. They offer an opportunity for developing one’s professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis.

    They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm’s senior management in a highly collaborative and charged environment.

    Successful candidates are:

    • Analytic and relentless in pursuit of the right answer
    • Strong communicators who excel at rapid synthesis
    • Able to demonstrate sound business judgment
    • Able to digest complexity while maintaining an understanding of the “big picture” of business needs
    • Team players who are energized by a collaborative enterprise

    The firm’s employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients