Risk Data Developer - VP

40 BANK STREET, United Kingdom

Citi

Citi is a leading global bank for institutions with cross-border needs, a global provider in wealth management and a U.S. personal bank.

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Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. We enable clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.

The Olympus Markets Data Strategy team is building a next generation Data Fabric to solve the evolving Business, Analytical and Regulatory needs of Citi’s Institutional Clients Group (ICG).  The Fabric will bring together disparate data sources for the Global Markets organization and enable industry-leading analytics, client reporting, regulatory, surveillance, supervisory reporting(s) and data science solutions. It will also provide enhanced data quality controls , completeness and accuracy, reconciliations,  entitlements, performance, management of data retention and archival per regulatory guidelines.

Olympus Risk program involves centralising the Risk data across Markets and have one golden source of data for all Risk reporting and analytics. Olympus will need to build pipelines for ingesting Risk data across various systems and provide access to Risk data to downstream consumers including Finance, Backoffice and Accounting systems.

The role of the Spark Developer is to understand the existing data flows and requirements and to come up with technical design / architecture. Robust technical frameworks need to be built which will be the foundation of the way the Risk data will be modelled, centralised and exposed to the downstream consumers. Role also involves ensuring the optimal Data quality and integrity of the data stored as part of the Risk schemas, Data Analysis and Reporting, collaborating with Stakeholders and ensuring data stored is compliant with regulatory and Internal Audit process.

Key Responsibilities:

  • Develop Low latency caching to service Front office risk systems

  • Design and build frameworks for ingesting / modelling the complex Risk data

  • Provide SME support for development of automated QA scripts

  • Setup monitoring and management for services

  • Ensure Data Quality & Integrity of the Risk and Financial stored in the Big data environment

  • Analyze large volumes of data and extract actionable insight using tools like excel & Tableau

  • Utilize scripting language to improve automation and process improvement

  • Collaborate constructively with key stakeholders for successful deliveries

  • Ensure solutions used meet Data Governance and Compliance metrics

Qualifications: Exceptional candidates who do not meet these criteria may be considered for the role provided they have the necessary skills and experience

  • Development experience with expertise in the following:

    • Java Server side development working in Low latency applications

    • Financial background preferable

    • Spark expertise (micro batching, EOD/real time)

    • Python

    • In-memory databases

    • SQL Skills  & RDBMS concepts

    • Linux

    • Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.)

    • Python , R or equivalent scripting language(s)

    • Excellent Excel Analysis skills

    • Good understanding of Investment Banking data

  • A history of delivering against agreed objectives

  • Ability to multi-task and work under pressure

  • Ability to pick up new concepts and apply the knowledge.

  • Demonstrated problem solving skills

  • Enthusiastic and proactive approach with willingness to learn

  • Excellent analytical and process-based skills, i.e. process flow diagrams, business modelling, and functional design

  • The candidate is expected to be dynamic, flexible with a high energy level as this is a demanding and rapidly changing environment

What we’ll provide you:

By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

  • 27 days annual leave (plus bank holidays)

  • A discretional annual performance related bonus

  • Private Medical Care & Life Insurance

  • Employee Assistance Program

  • Pension Plan

  • Paid Parental Leave

  • Special discounts for employees, family, and friends

  • Access to an array of learning and development resources

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
 

#LI-BH1

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Job Family Group:

Technology

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Job Family:

Technology Quality

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture Banking Big Data Data analysis Data governance Data quality Data strategy Excel Finance Hadoop HBase HDFS Java Linux Pipelines Python R RDBMS Spark SQL Tableau

Perks/benefits: Career development Competitive pay Flex hours Health care Home office stipend Insurance Medical leave Parental leave Salary bonus

Region: Europe
Country: United Kingdom

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