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Investment Analytics - Delivery Lead

Your role:
The Data Analytics Technical Lead will provide architectural and technical leadership to a growing team focused on delivering cutting edge data intensive analytical platforms & solutions.
A Data Analytics Technical Lead will be responsible for delivery and will take a hands on approach in the design and build phases. The team utilise the latest in Big Data, Cloud, Open source & Data Science tools & techniques.
Major Duties/Responsibilities:
? Working with business domain experts to identify detailed data needs, sources, and structure to support solution development.
? Determining technical approaches to be used, and defining the appropriate methodologies
? Providing overall solution architectural leadership including the ability to influence other technical experts and drive teams to align on technical solution options quickly
? Must be capable of working in a collaborative, multi-site environment to support rapid development and delivery of results and capabilities (i.e. AGILE SDLC)
? Effectively communicating technical analyses, recommendations, status, and results to IT and business management and executives in business terms
? Excellent leadership skills: Ability to build effective partnerships with leaders in the business
What we offer:
Together. That?s how we do things. We offer people around the world a supportive, challenging and diverse working environment. We value your passion and commitment, and reward your performance.
Keen to achieve the work-life agility that you desire? We're open to discussing how this could work for you (and us).
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Take the next step:
Are you truly collaborative? Succeeding at UBS means respecting, understanding and trusting colleagues and clients. Challenging others and being challenged in return. Being passionate about what you do. Driving yourself forward, always wanting to do things the right way. Does that sound like you? Then you have the right stuff to join us. Apply now.
Disclaimer / Policy Statements:
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Your team:
UBS Asset Management's growth strategy requires a highly scalable and robust global operating platform for effective and efficient investment research, low organizational complexity, ability to grow top line without linear cost growth, and fully align investment with strategic growth priorities. In order to achieve this goal, Asset Management is renovating its front-office technology stack to. AM Investment Domain Data Program will create a competitive advantage for the business through unique and adaptive data, analytics & research capabilities. Current AM data architecture is highly fragmented and does not satisfy divisional needs. The objective of AM Investment Domain Data Program is to drive a centralized set of services, with data integrity & governance, high performance, smart analytics & flexibility.
Your experience and skills:
Minimum Required Skills and Education:
? Bachelors (IT/Computer Science Preferred); Master?s Degree preferred (IT/Computer Science Preferred) or equivalent experience
? 8-10 years of industry experience in analyzing source system data and data flows, working with structured and unstructured data, and delivering data and solution architecture designs.
? Experience with clustered/distributed computing systems, such as Hadoop/MapReduce, Spark/SparkR, Lucene/ElasticSearch, Storm, Cassandra, Graph Databases, Analytics Notebooks like Jupyter, Zeppelin etc
? Experience building data pipelines for structured/unstructured, realtime/batch, events/synchronous/asynchronous using MQ, Kafka, Steam processing.
? 5+ years of experience as a data engineer/solution architect designing and delivering large scale distributed software systems, preferably in large scale global business- preferably using open source tools and big data technologies such as Cassandra, Hadoop, Hive, Prestodb, Impala, HBase, Spark, Storm, Redis, Drill etc
? Strong hands-on experience of programming with Java, Python, Scala etc
? Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data for Time Series Analytics.
? Knowledge of Data Warehousing best practices; modeling techniques and processes and complex data integration pipelines
? Experience gathering and processing raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
? Excellent technical skills ? able to effectively lead a technical team of business intelligence and big data developers as well as data analysts.
Optional Skills:
? Experience in Machine Learning, Deep Learning, Data Science
? Experience with Cloud architecture & service like AWS, Azure
? Experience with Graph, Sematic Web, RDF Technologies
? Experience with Text Analytics using SOLR or ElasticSearch
About us:
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world.
We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Your colleagues:
Job Reference #: 165485BR
Business Divisions: Corporate Center
Title: Investment Analytics - Delivery Lead
City: Weehawken
Job Type: Full Time
Country / State: United States - New Jersey
Function Category: Information Technology (IT)


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