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JOB SNAPSHOT
Data Operations Analyst
Miguel Hidalgo, MX
The Data Office for WTW Investments is a central team that is responsible for sourcing, creation and maintenance of datasets which is fit-for-purpose, timely and accurate; with the objective to deliver on business outcomes such as trading, analytics, reporting and performance measurement. The team maintains the golden source of multiple datasets such as Instruments, Pricing, Counterparty, Client etc. and ensures the integrity of the data using data quality and standards frameworks.
The role requires the candidate to help support the business in delivering on specific projects and continuing to support BAU activities for the various datasets. The candidate will quickly build a sound understanding of our business structure and the information within it, while working with a diverse mix of investment professionals of different backgrounds and experience levels.
The Role
- Maintain dataset across multiple platforms (ex: new clients, pricing, valuations and portfolio details) based on procedures and protocols.
- Perform data quality control checks, liaising with Subject Matter Experts (SMEs) as required
- Carry out exception reporting and resolution tracking. Ensuring aged and critical exceptions are resolved within the agreed SLA.
- Develop competence with internal systems and processes
- Support ad hoc data extractions requests from internal stakeholders
- Develop and maintain robust processes to ensure data is accurate and meets business needs
- Have the opportunity to take ownership of projects and processes.
- Assist with the documentation of processes
- Develop technical expertise and collaboration within the team and across the Investments business
The successful candidate will be expected to work within the existing risk management and audit framework of the team and business, which includes checklists and review processes, branded ‘Professional Excellence’. All team members are encouraged to contribute ideas for process improvements.
Throughout you will benefit from the business’s focus on training and development, including soft-skills, investment knowledge and data expertise.
The Requirements
- Candidate should be a new graduate with focus in the areas of data management, programming and finance.
- Advanced knowledge or certification in automation tools (Power Automate) is highly desirable but not mandatory.
- Understanding of Data Management principles on areas of sourcing, cleansing, transformation etc will be advantageous.
- Other skills such as Python or R coding (highly desirable but not essential).
- Proficiency in English, both in written and verbal communications is mandatory.
Equal Opportunity Employer
UNSOLICITEDCONTACT
Any unsolicited resumes/candidate profiles submitted through our web site or to personal e-mail accounts of employees of Willis Towers Watson are considered property of Willis Towers Watson and are not subject to payment of agency fees. In order to be an authorized Recruitment Agency/Search Firm for Willis Towers Watson, any such agency must have an existing formal written agreement signed by an authorized Willis Towers Watson recruiter and an active working relationship with the organization. Resumes must be submitted according to our candidate submission process, which includes being actively engaged on the particular search. Likewise, for our authorized Recruitment Agencies/Search Firms, if the candidate submission process is not followed, no agency fees will be paid by Willis Towers Watson. Willis Towers Watson is an equal opportunity employer. If you would like to have your contact information saved for future consideration, please email: Agency.inquiries@willistowerswatson.com.
OUR OFFICES
Our colleagues serve more than 140 countries and markets around the world. This gives a global dimension to everything we do and creates lots of exciting opportunities for you to collaborate and grow. Explore the map below to see where you career could take you.
Meet our people
Massimiliano Abri
Burn Domingo
Theodore Coteok
Karuna Jose
Ana Cristessa Nabuab
Nichelle Daulby
Roberta Jones
Shadab Hemani
Donna O'Riordan
Mitch Dauz
Kerstin Plag
Anna Stonelake
Elise Hunt
Mathew Stewart
Ritu Batheja
Matice Morris
Catarina Carvalho
Soumya Kurup
Leonardo Araujo
Karan Patel
Poonam Yadav
Tom Leigh-Eldredge
Karan Rai
Felipe Pradel
Michael McConnell
Mel Scrutton
Irene Larbi
Kingsley Wang
Charlie (Charlotte) Garrod
Laura Punzón
Nick Alexander
Benjamin Tessier
Paul Dowding
Pei Wang
Emma White
Basil Al Hatoum
Jasmin Bedi
Anshul Garg
Emily Reading
Dominic Ferrari
Suzanne Vaughan
Nuno Arruda
Salmaan Saeed
Massimiliano Abri
Burn Domingo
Theodore Coteok
Karuna Jose
Ana Cristessa Nabuab
Nichelle Daulby
Roberta Jones
Shadab Hemani
Donna O'Riordan
Mitch Dauz
Kerstin Plag
Anna Stonelake
Elise Hunt
Mathew Stewart
Ritu Batheja
Matice Morris
Catarina Carvalho
Soumya Kurup
Leonardo Araujo
Karan Patel
Poonam Yadav
Tom Leigh-Eldredge
Karan Rai
Felipe Pradel
Michael McConnell
Mel Scrutton
Irene Larbi
Kingsley Wang
Charlie (Charlotte) Garrod
Laura Punzón
Nick Alexander
Benjamin Tessier
Paul Dowding
Pei Wang
Emma White
Basil Al Hatoum
Jasmin Bedi
Anshul Garg
Emily Reading
Dominic Ferrari
Suzanne Vaughan
Nuno Arruda
EVENTS
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July 24 @ 3:00 pm - 6:00 pmPosse Annual Virtual Career Fair
July 24 @ 3:00 pm - 6:00 pmOLA Early Career Symposium
August 4 @ 9:00 am - August 5 @ 5:00 pmOLA Early Career Symposium
August 4 @ 9:00 am - August 5 @ 5:00 pmPosse Annual Virtual Career Fair
July 24 @ 3:00 pm - 6:00 pmPosse Annual Virtual Career Fair
July 24 @ 3:00 pm - 6:00 pmOLA Early Career Symposium
August 4 @ 9:00 am - August 5 @ 5:00 pmOLA Early Career Symposium
August 4 @ 9:00 am - August 5 @ 5:00 pmThere are no upcoming events at this time.