Responsibilities:

**Design and develop high performance green-field data analytics products for a Tier 1 bank.**

**Collaborate with business partners on the trading floor to create technical solutions with a competitive advantage.**

**Part of an innovative team pushing boundaries to create cutting edge data visualization solutions.**

**Promote and follow engineering best practices.**

**Apply an engineering mind-set to development work: understand use-cases in details, develop metrics to build good estimates of volume and compute velocity requirements, understand and discuss openly any implementation limitations or workaround.**

**Evaluate and build POCs for new strategic initiatives and work to convert to enterprise solutions.**

**Ability to take initiative to research, learn and recommend emerging technologies.**

**Provide post release assistance to business, development and support groups.**

**Develop application as per best practice and remain compliant with prescribed best practices (TDD, maintain high unit test coverage, CI).**

**Serve as advisor or coach to mid-level developers and analysts.**

**Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.**

Knowledge/Experience

**Technical skill:**

**Minimum 5 years demonstrable and relevant experience.**

**Strong understanding of Python 3.6 or above.**

**Solid understanding of Java / Spring stack development.**

**Knowledge of python frameworks and libraries, including Pytest, Pandas, Flask, and Kafka**

**Solid understanding of REST API development.**

**Demonstrable experience in writing reusable, testable and efficient code with proper error and exception handling.**

**Experience with design and implementation of cloud-ready applications and deployment via Kubernetes / Openshift.**

**Experience with big data computation platforms (Flink, Spark, Apache Beam) or big data distribution platforms (Hadoop, Druid, Ignite)**

**Hands-on experience in handling various data structures.**

**Understanding of threading modeling in Python, and multi-processor architecture.**

**Good understanding of Data modeling, partitioning and sharing of huge data sets.**

**Good to have any UI based language experience like react, angular.**

**Good to have knowledge on any BI tool like Splunk, Tableau, and Power BI.**

**Experience with API gateway, discovery server, and monitoring services is plus.**

**Knowledge of python microservice development using FAST API and streaming technology Faust is big plus.**

Software engineering skills:

**Experience working on a Continuous Integration and Continuous Delivery environment. Familiarity with TeamCity, Sonarqube and Jenkins**

**Experience with the SDLC lifecycle and in working within an Agile environment**

**Demonstrable understanding and experience of engineering best practices: design patterns, coding standard, code review, unit testing via Mockito and Junit**

**Understanding of Agile software development methodology and strong experience with standard CI tools (Jenkins, TeamCity, Sonarqube, git).**

**Business facing and interpersonal skills:**

**Strong communication skills, oral and written.**

**Ability to apply sound technical skills and knowledge of the Rates business to develop creative solutions to meet client and business needs.**

**Responsible, agile and collaborative team worker.**

**Ability to develop strong relationships with others, effectively influencing peers and business partners.**

**Self-motivated and organised, with determination to achieve goals; ability to work autonomously when required.**

**Ability to face off to all business users (traders, financial controllers, risk managers, etc.)**

**Flexible and able to deliver quality results in the required timeframe**

**Flexibility to work with a global team, across geographies and time zones**

Qualifications / Education

**Strong academic record, ideally with a Bachelors or Masters degree in Computer Science, or related technical/quantitative discipline. Demonstrable success in designing and delivering multi-tiered applications**

**Ideally, an understanding of financial derivatives (rates or other) or willing to learn about this area.**

**This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.**