Cmi Big Data Java Developer

4 weeks ago

Singapore Credit Agricole Full time
Credit Agricole CIB is the corporate and investment banking arm of Credit Agricole Group, the 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2022).
8,600 employees in more than 30 countries across Europe, the Americas, Asia-Pacific, the Middle-East and North Africa, support the Bank's clients, meeting their financial needs throughout the world.
Credit Agricole CIB offers its large corporate and institutional clients a range of products and services in capital market activities, investment banking, structured finance, commercial banking and international trade.
The Bank is a pioneer in the area of climate finance, and is currently a market leader in this segment with a complete offer for all its clients.

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Reference

Publication date 28/07/2022

Job description

Business type

Types of Jobs - Information systems / IT Project management

Job title

CMI Big Data Java Developer(Ref47594)

Contract type

Permanent Contract

Job summary

About CMI
Capital Markets IT (CMI) is the IT department within the bank focused on solutions related to Capital Markets. This includes Front Office (FO) booking platforms, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more. It is the department most directly exposed to the bank's financial operations.

About MASAI
MASAI is an ambitious project critical to the Bank's strategic pivot towards data-centric operations. In the past, separate systems maintained their data separately, modeling the same data in incompatible ways and depending on ad-hoc and sometimes brittle data sharing mechanisms, creating a complex web of interdependent systems and no centralized repository of data. MASAI was initially created to satisfy regulatory requirements set out by the Basel Committee as part of their FRTB capital rules, but quickly became the central focus in the Bank's push towards a more data-centric approach. It is based on Big Data technology, which allows horizontally-scalable management of data at and beyond the petabyte scale.

About the Position
As a member of the MASAI project's development team, you will develop robust processes to ingest huge amounts of data from disparate systems, and build processes that transform and use that data. The core technology used is Apache Spark on top of HDFS, and development is primarily in Java. The position is ideal for someone with a strong interest in data processing and data science: either a confirmed expert in Big Data technologies or a strong developer keen on gaining expertise in that domain.

Qualifications and Profile
The successful candidate will definitely have:
At least 8 years of software development experience
At least 5 years experience working with Java
A strong understanding of recent Java language features, such as lambdas, streams, and futures
Good knowledge of algorithms and data structures, with strong fundamentals in complexity analysis
Strong ability to analyze code - understand execution flow & debug even without access to a debugger
Experience with Maven, Git, writing and maintaining integration tests
Strong familiarity with Linux and bash
Good knowledge of SQL or an SQL-inspired dialect such as HQL

Position location

Geographical area

Asia, Singapore

City

Singapour

Candidate criteria

Minimal education level

Bachelor Degree / BSc Degree or equivalent

Academic qualification / Speciality

Degree and above in relevant discipline

Level of minimal experience

6-10 years

Experience

An ideal candidate will also have expertise in some or all of the following: Hadoop Big data clusters and tech: Spark, Kafka, HDFS, ORC, Hive, HBase, YARN, Parquet, Zookeeper Jenkins and Ansible Jira or a similar issue-tracking system The Spring framework and IoC, and particularly Spring Boot and Swagger for restful web services Additionally, knowledge of the following would be helpful although it is not required: Python and pyspark Web development fundamentals (HTML, Javascript, jQuery, ReactJS, etc) Docker/Kubernetes Protobuf, gRPC, Kryo, Avro, Snappy * OLAP cubes: ActivePivot, Druid, Clickhouse Understanding of and interest in finance & financial markets, particularly interest rate derivatives in their many forms (Forwards, Futures, Swaps, Swaptions, etc), knowledge of the greeks (Delta, Gamma, Vega, Vanna, Volga, Cega, etc), risk management concepts (VaR, ES, etc), market data (discount and forecast curves, SABR volatility matrices, correlation and hybrid correlation cubes, etc). Besides having greater development experience than an intermediate or junior developer, a senior developer will be expected to make sometimes complex architectural decisions that balance difficult trade-offs, and defend those decisions to management and clients within the bank; he or she will be expected to take a leadership role in the team, mentoring less experienced colleagues and helping them progress.

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