Data Operations Analyst

Coremont provides integrated front to back office services to investment managers and financial institutions and is authorised and regulated by the Financial Conduct Authority in the United Kingdom.  Coremont's service offering encompasses the full asset management life-cycle, including a portfolio management system, risk analysis, operations, data services, compliance support and investor relations services. The business spun out from Brevan Howard Asset Management (one of the world's leading absolute return/hedge fund managers) in 2018 and Brevan Howard remains a key client.

Coremont employs over 200 staff, with offices in London, Hong Kong and Connecticut.. It is led by a team of highly experienced finance professionals across multiple disciplines with a platform that is considered an industry leader in trading analytics, risk analysis and operational integrity.

The cornerstone of Coremont's offering is Clarion, cloud-based portfolio management technology, which is powered by Coremont's proprietary pricing models and analytics.  Clarion helps clients navigate the daily demands of trading and risk management, with advanced capabilities in derivatives.

For more information, visit Coremont's website at www.coremont.com.

Data is intrinsic in everything we do across Coremont - That's why we have created a new data services team with the responsibility of delivering world class scalable data management capabilities to support Coremont's business objectives and our client's growth and diversification strategies.

The Data Operations Analyst role has been created to support the rapid growth and diversification of the data services within Coremont.  We are looking for a candidate with broad data & operations experience in financial services to be able to operate inside a business as usual function while at the same time having a detailed eye on scaling our services with technology and process improvement.

Data people are curious and have an attention to detail, the right person for this role will exhibit these characteristics and have a mindset of continuous improvement to service a rapidly growing business with institutional backing and a proven track record in delivering a suite of financial services to a market-leading standard.

Main Duties include:

• Ensuring the systematic & manual set up & maintenance of reference data against customer focussed SLA's.
• Providing domain expertise for reference data, spanning all aspects of instrument static i.e. identifiers, classifiers and descriptive data relating to financial instruments (all asset classes); corporate actions; product classifications; client / book hierarchies; and other data sets e.g. holiday calendars.
• Monitoring of automated intraday and batch reference data flows with timely resolution of breaks
• Supporting the enhancements and re-architecting of existing data capture and validation processes, to include facilitation of enterprise data management / security master platform implementation
• Continuous review and enhancement of data capture processes and associated control environment e.g. via automation and robust process / procedures framework
• Ensuring that all instrument reference data is maintained in an accurate and timely manner in all necessary systems and data repositories in coordination with client on boarding & operational teams
• Produce outputs relating to data quality monitoring and control processes as required to support periodic operational reporting and to support prioritisation around process improvement.

Work Exoerience: 

Essential:

• 2+ years' data analysis experience in either an educational, operational, control or change capacity with focus on reference data and analytics.
• Knowledge of global markets, securities, crypto and / or derivatives businesses (buy or sell side)
• Ability to work in a dynamic environment and interact with quant / technology teams at all levels
• Keen to learn new skills and concepts at pace

Desirable:

• Knowledge of Database query language (SQL) would be a plus but not essential
• Ability to manage stakeholders

Essential:

• Ability to break down business requirements into meaningful deliverables.  We have a large work stack, and not enough resources to deal with them all at once, so what can we deliver that will have the highest impact to the business, in the shortest amount of time and within budget.
• Ability to understand databases and data usage as well as to ask questions / interrogate the data to help glean meaningful information that can be used throughout the business

Desired:

• Knowledge of reference / master data management technology and experience of various aspects of implementation e.g. requirements specification, process mapping, data cleansing, reconciliation, testing, impact analysis
• Familiarity with data vendors and relative benefits in terms of cost, quality and availability

Standard hours will be 8am to 6pm with other such hours as are necessary to fulfil the role, some flexibility required.

Competencies

• A genuine passion and interest in developing a career in data
• Strong interpersonal and stakeholder management skills
• Excellent attention to detail
• Strong time management skills
• Ability to track multiple sub-tasks and dependencies and provide clear written and verbal status updates