Data Science Application Developer, AVP

Key Skills

Apache Hadoop, Apache Hive, Big Data Technology, Dash framework, Data Analytics, Data science techniques, Deep Learning, Design, HBase, HDFS, Java Programming, Machine learning techniques, Pandas, PySpark, Python Programming, Shell Scripting language, SPARK Programming, SQL, Statistical modeling

Job Description

This role is for a Data Science application Developer on the Citi Velocity Data Science team. This team is responsible for generating insights on consumption data from Citi Velocity web portal and create applications that help drive business strategy using these insights. Citi Velocity's user base consists of 100k+ Markets Employees and Institutional Clients. Each developer is involved in the complete project lifecycle from requirements analysis to design and implementation.

As one of the Global Markets’ key initiatives, Citi Velocity Web and Mobile brings together Citi’s global footprint with best in class technology, giving our institutional clients unprecedented access to our capital markets research, commentary, data, analytics, proprietary models and services across asset classes. Citi Velocity is one of the leading platforms for web-based analytics on The Street, ranked #1 among 19 dealer sites in Institutional Investor’s All-America and All-Europe Surveys for 3 years in a row.

Key Responsibilities

• Responsible for server side applications Analysis, Design & Development.
• Collaborate with business partners on the trading floor to create performant applications that deliver real time insights on millions of data points.
• Responsible for creating high throughput applications leveraging existing Citi Big data framework,
• Part of an innovative team pushing boundaries to create innovative data visualization solutions.
• Ability to take initiative to research, learn and recommend emerging technologies.
• Be part of a dynamic group working towards a common goal.
• Work with developers onshore, offshore and matrix teams to implement a business solution

Knowledge/Experience:

• Proficiency in Java or Python.
• Experience with customer analytics.
• Relish tackling new challenges, paying attention to details, and growing professionally.
• Basic shell commands and shell scripting.
• Adapts machine learning and deep learning technologies to the finance products
• Strong familiarity with machine learning and statistical techniques
• Knowledge and experience of distributed computing
• Knowledge of advanced statistical techniques and concepts.
• Extensive hand-coding expertise in Core Java development
• Experience with PySpark/Pandas and related data analytics libraries
• Adapts machine learning and deep learning technologies to the finance products
• Experience with messaging systems like Kafka & EMS (Solace, Tibco)
• Experience in Hadoop framework with good understanding of HDFS, Hive, HBase, Spark

Citi Canada is an equal opportunity employer. Accordingly, we will make accommodations to respond to the needs of people with disabilities (including, without limitation, physical and mental health disabilities) during the recruitment process and otherwise in accordance with law. Individuals who view themselves as Aboriginals, members of visible minority or racialized communities, and people with disabilities are encouraged to apply.