Optimization Services Operations Lead

London Stock Exchange Group; Taguig; On-site; PHP 1,339,000 - 2,009,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Paid volunteering days

Wellbeing initiatives

Job summary

London Stock Exchange Group is seeking a Manager to oversee Quantile Optimisation Services and lead a small operations team. The role focuses on coordinating optimisation runs, data analysis, client onboarding, and ensuring timely, compliant processes within a fast-paced financial services environment.

The position emphasizes strong analytical abilities, meticulous attention to detail, and effective stakeholder communication. Exposure to Excel, Python or SQL, and Jira will be advantageous.

Qualifications

• Experience coordinating small operational teams.
• Degree in a numerate or technical field (e.g., Mathematics, Finance, Engineering, Computer Science) or equivalent experience.
• Strong analytical and problem‑solving skills, with high attention to detail and accuracy.
• Operational mentality: Ability to follow structured processes, run recurring tasks, and ensure timely execution of scheduled activities.
• Proficiency in data handling tools such as Excel (Pivot Tables, VLOOKUP), with exposure to Python or SQL being an advantage.
• Ability to work to tight deadlines in a fast‑paced environment, handling multiple priorities efficiently.
• Excellent written English communication for documentation and internal coordination.
• QA testing and Jira experience advantageous.
• Investment banking knowledge and familiarity with financial products and derivatives (e.g., swaps, FX forwards) is a plus.

Responsibilities

• Coordinate and Provide Oversight of Optimisation Runs. Maintain a strong working understanding of all Quantile Optimisation Services.
• Setting up all vital configurations prior to the optimisation.
• Validating optimisation input data in a timely manner to ensure success in optimisation runs.
• Running optimisations and resolving any issues in a run.
• Carrying out post run checks of optimisation run results.
• Continued liaison with team members supervising the run.
• Complete post execution processes including trade booking & regulatory reporting within prescribed timelines.
• Providing post-run analysis to the team.
• Provide oversight of client onboarding with internal set up of new clients and testing.
• Running scenarios and carrying out data analysis on these will aid the client onboarding process and provide insights for growing the service for existing clients.
• Participate in QA testing of product & process improvements, ensuring they meet the specified requirement within weekly release schedules.
• Manage day‑to‑day workload and priorities of a Business Operations team in line with Product Team objectives & expectations.
• Provide performance feedback and support development planning.
• Foster a collaborative, accountable team culture.
• Effectively communicate operational issues and risks to stakeholders and continually liaise with Service Team Leads on delivery and performance of the team.
• Identify and recommend process improvements to help improve efficiency and reduce operational risk.
• Presenting data analysis findings in a clear and insightful manner is expected, especially when identifying issues or anomalies.
• Maintaining ongoing, two‑way engagement with team members across all aspects of the role is vital for success.

Skills

Team leadership

Analytical thinking

Attention to detail

English communication

Time management

Education

Numerate/technical degree

Tools

Excel

Python

SQL

Jira

Job description

London Stock Exchange Group is seeking a Manager to oversee Quantile Optimisation Services and lead a small operations team. The role focuses on coordinating optimisation runs, data analysis, client onboarding, and ensuring timely, compliant processes within a fast-paced financial services environment.

The position emphasizes strong analytical abilities, meticulous attention to detail, and effective stakeholder communication. Exposure to Excel, Python or SQL, and Jira will be advantageous.