Rimes provides enterprise data management solutions to the global investment community. Driven by our passion for solving the most complex data problems, we provide our clients with investment intelligence that powers more than US$75 trillion in assets under management annually. The world's leading institutional investors, asset managers and service providers rely on Rimes to help them make better investment decisions using accurate information and industry-leading technology.
The Opportunity:
Lies within the Rimes Client Services department. It utilises technology to automatically retrieve, manage, transform, enrich, validate & deliver financial data from a wide range of sources to over 350 clients. Client Services own this process and are the interface between our clients, our platform and organisation. Client Services comprises a team of more than 50 staff based in 9 global locations, performing a wide range of client facing functions.
This team oversees the delivery of 60000+ data feeds daily. Client Services first line team proactively monitor exceptions based on timeliness and the quality of data in a top-down manner, in conjunction with managing our client's ever-changing priorities and corresponding queries.
Client Services second line team handles complex escalation from our first line group, in addition to managing change projects that impact all our clients globally.
Client Services account teams own the technical relationship with the client, they are responsible and accountable for the service provided to a set of clients, within geographic regions. The account team ensure the client's service operates within a set of KPI's and make suitable adjustments to ensure it continues to do so. Account teams work with our clients to adapt the services received, in line with the ever-changing requirements of the investment management industry. Alongside our sales and management teams, the account team provides regular service reviews with our clients, to reinforce our value proposition, provide industry insight and uncover further opportunity to solve our client's challenges.
What you will do:
Support the Rimes EDM-as-a-Service product and corresponding services
Work with a global Client Service team to ensure high quality daily service across all EDM-as-a-Service clients
Ensure EDM-as-a-Service data flows are monitored and optimized to support each client data needs
Ensure that data quality controls are executed and maintained across a wide range of data sets, including Instrument Identifiers and cross reference data, security reference information, pricing data, ESG, Ratings and Corporate Actions
Interact with clients, external data partners and Rimes specialists to manage and resolve data validation failures
Ensure mastered data services meet internal and external KPIs
Support Clients in delivering ongoing changes to their service
Support Client in regularly reviewing and optimizing their service
Contribute to ongoing internal projects which enhance the EDM-as-a-Service Product and services
Who you are:
Have 2+ years' experience in the financial data industry
Have worked in Operations in roles handling Security Reference and/or Pricing Data
Have developed and/maintained controls to ensure quality of pricing/security data
Have experience with market data portals and/or or vendors in investigating data challenges
Used to working with high volumes of challenges to meet daily operational deadlines
Have been used to working under their own initiative to improve and enhance their service
Have experience interacting with clients using their operational service
Have effective analytical, problem-solving and prioritization skills
Python – in particular data analysis and visualisation tools will be considered as a plus
Knowledge and understanding of equity and fixed income indices will be considered as a plus
Exposure to Corporate Actions, ESG and Ratings Data will be considered as a plus
Training and oversight of other analysts will be considered as a plus
Graduate calibre, preferably in a finance or a related field
Experience working with, querying, and manipulating large datasets
Sound working knowledge of financial spreadsheets and financial databases and applications
Use of data challenge portals (such as exchange websites, or vendor data systems or portals)
High proficiency with MS Excel
Good communication skills
What We Offer:
Private Medical Insurance
Private Provident Fund
26 days of annual leave
5 days paid sick leave
Breakfast and snacks
Smoothie Fridays
Working Schedule: 09:00 - 18:00 Monday to Friday, might be requested to work on Public Holidays
Compensation: Competitive pay and bonus eligibility
Work Life Balance: Flexible hybrid work environment