Data Engineer

Brevan Howard Asset Management is one of the leading absolute return/hedge fund managers. It oversees assets on behalf of institutional investors worldwide, including pension funds, endowments, insurance companies, government agencies, private banks, and funds of funds.

Brevan Howard was founded in 2002 and launched its flagship global macro strategy in April 2003. It currently manages over $30bn and engages predominantly in discretionary directional and relative value trading in fixed income and FX markets, as well as the recently launched BH Digital, a division within Brevan Howard to manage crypto and digital asset strategies.

The firm employs over 1,000 personnel worldwide, including over 300 investment professionals. This global presence gives Brevan Howard the ability to identify and source attractive investment opportunities and investment management talent wherever they may be. Brevan Howard has won several industry awards for excellence in risk management, operational robustness, and investment performance.

The firm’s main hubs are London, Jersey, Geneva, New York, Austin, Hong Kong, Singapore and Abu Dhabi.

As a Data Engineer, you will be working with our SaaS provider.  You will lead the integration and management of the SaaS platform vendor, GoldenSource. Your role will involve overseeing the implementation, optimisation and expansion of the SaaS securities master platform to BH’s specific data requirements to fulfil the business objectives.

ROLES AND RESPONSIBILITIES

• Provide daily, ongoing support for GoldenSource.
• Assist internal users and stakeholders to access the platform and data via both the GUI and the Rest API.
• Collaborate with the GoldenSource SaaS provider technical team to configure the platform according to our securities master data requirements.
• Oversee incident & change management, Root Cause Analysis (RCA)​.
• Troubleshoot and track tickets for bugs/service requests, Escalations​ etc.
• Monitor KPIs, SLAs & and cost tracking: SaaS, data sources​.
• Analysis and customisation, where appropriate, of data mappings, transformations and business rules to align with BH data models and workflows.
•  Liaison with the internal data strategy team to manage data vendor relations and implement data validation checks and quality controls within the SaaS platform to ensure the accuracy and completeness of securities master data.
• Expansion of business scope/data requirements for all lines of business, downstream internal system integrations and reporting.
• Monitor data ingestion processes and troubleshoot any issues or discrepancies to maintain data integrity and work with the SaaS provider to address data quality issues and optimise data cleansing and enrichment processes.
• Provide training and support to internal users on navigating and utilising the SaaS platform for securities master data management.
• Act as a point of contact for user inquiries, troubleshooting issues, and facilitating resolution with the SaaS provider’s support team.
• Create documentation and training materials to assist users in maximising the value of the SaaS platform.
• Ensure compliance with data governance policies and regulatory requirements within the SaaS platform.
• Establish access controls, permissions, and audit trails to safeguard sensitive data, maintain compliance standards and conduct periodic reviews and audits of data processes to identify areas for improvement and mitigate risks.
• Collaborate with internal stakeholders to identify opportunities for process optimisation and innovation using the SaaS platform.
• Stay informed about industry trends, best practices, and emerging technologies related to securities data management and SaaS solutions.

KEY REQUIREMENTS

• 3+ years of experience as a Data Engineer in the Financial Technology sector focusing on securities data management.
• 3+ years of prior understanding and experience of an extensive range of financial asset classes and instrument static/reference data, from Bonds and CDS to ETFs, Futures, Options, and Equities and related data such as Ratings. 
• 3+ years of experience in SaaS platforms, financial markets and securities data.
• 3+ years of prior experience in working on Data Analysis, Data Gathering & Ingestion, Data Cleansing & Preparation, Data Searching & Querying, Data Mapping, Data Migration, Architecture & Design (Cloud) and ITIL processes.
• Prior working experience in the Securities Master platform is desirable. 
• Familiarity with AWS, Python and Kafka is desirable.
• Strong English communication skills, both written and spoken, are crucial.
• Should be a natural leader, self-starter, logical thinker, and quick learner and have a detail-oriented mindset.
• Strong interpersonal skills, with the ability to work independently and as part of a team.