About Marex

Marex Group plc is a diversified global financial services platform, providing essential liquidity, market access and infrastructure services to clients in the energy, commodities and financial markets. It listed on Nasdaq Global Select Market in April 2024. With more than 35 offices in Europe, US and APAC, it has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology-led service provides access to all major exchanges, order-flow management via screen, voice and DMA, plus award-winning data, insights and analytics.

Marex Solutions is a division of Marex providing investment banking solutions with a fintech mindset. We aim to become the world’s leading manufacturer of cross asset, customised derivatives.

Supporting the key stakeholders within the Marex infrastructure, such as but not limited to, Trading, Sales, COO and Operations team, you will play a key role in helping to build and maintain the static data of key risk management systems, which houses a range of cross-asset products.

For more information visit www.marex.com

Role Summary

Are you passionate about data accuracy, efficiency, and supporting the backbone of financial operations? Do you thrive in a fast-paced environment where precision and attention to details are paramount? If so, we invite you to be part of a dynamic and forward-thinking team that plays a critical role in ensuring seamless operations across global markets.

As a Static Data Specialist, you will be at the heart of our operations, managing and maintaining essential reference data that powers trading, settlements, and risk management functions. You will collaborate with cross-functional teams including Trading, Operations, and IT to ensure that data integrity and consistency drive business success.

Responsibilities

Your role will require a varied skillset to be involved in, but not limited to, the following:

Data Management: Maintain and update static data including instrument setup, counterparty data, and market data across multiple platforms.
Data Quality: Ensure data accuracy, integrity, and completeness through regular audits, validations, and reconciliations.
Cross-Department Collaboration: Work closely with trading desks, operations, and IT teams to resolve any data discrepancies and support new business initiatives.
Process Improvement: Identify opportunities to automate data processes and enhance data management systems, contributing to operational efficiency and data quality enhancements.
Regulatory Compliance: Ensure that all static data complies with internal policies and external regulations such as MiFID II, EMIR, and other global standards.
Data Integration: Assist in onboarding new systems or platforms, ensuring seamless integration of data into existing workflows. Support regulatory initiatives/projects with the subject matter experts.
Ensuring compliance with the company’s regulatory requirements under the FCA
Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with.
demonstrating highest level standards of integrity and conduct and reflecting Company Values.
At all times complying with the FCA’s Code of Conduct
To ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility
To report any breaches of policy to Compliance and/ or your supervisor as required
To escalate risk events immediately.
To provide input to risk management processes, as required.

Competencies

A meticulous, detail-oriented individual who thrives on delivering data accuracy.
A passion for solving complex data challenges and optimizing processes.
Someone who enjoys working in a collaborative environment with diverse teams.
Ability to balance multiple projects while maintaining a high standard of work.
A proactive, problem-solving mindset.

Skills and Experience

Bachelor’s degree in Finance, Data Science, Business, or a related field.
A minimum of 2 years’ of experience* in data management or operations/middle office, preferably in a financial services or investment banking environment.
Strong understanding of financial products and instruments (equities, fixed income, derivatives, commodities).
Experience with data management platforms (Bloomberg, Reuters, etc.) is an advantage.
Advanced skills in Excel; familiarity with SQL or Python is a plus.

Conduct Rules

You must:

Act with integrity
Act with due skill, care and diligence
Be open and cooperative with the FCA, the PRA and other regulators
Pay due regard to the interests of customers and treat them fairly
Observe proper standard of market conduct
Act to deliver good outcomes for retail customers

Company Values

Acting as a role model for the values of the Company:

Respect - Clients are at the heart of our business, with superior execution and superb client service the foundation of the firm. We respect our clients and always treat them fairly.

Integrity - Doing business the right way is the only way. We hold ourselves to a high ethical standard in everything we do – our clients expect this and we demand it of ourselves.

Collaborative - We work in teams - open and direct communication and the willingness to work hard and collaboratively are the basis for effective teamwork. Working well with others is necessary for us to succeed at what we do.

Developing our People - Our people are the basis of our competitive advantage. We look to “grow our own” and make Marex the place ambitious, hardworking, talented people choose to build their careers.

Adaptable and Nimble - Our size and flexibility is an advantage. We are big enough to support our client’s various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non-bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction.

Marex is fully committed to the elimination of unlawful or unfair discrimination and values the differences that a diverse workforce brings to the company.

*experience outside of the indicated range will also be considered.

#LI-MH1