Alpha Data Services – Senior Data Analyst; Investment trading data: security master, reference

Alpha Data Services – Senior Data Analyst – AVP

Alpha Data Services seeks a team‑oriented Senior Data Analyst with strong experience in building Data Insight and Analytics capabilities. This role supports the growing demand within Alpha Data Services and across our client base and is critical to enabling evidence‑based decision‑making, accelerating product development, and supporting the Alpha strategy.

• Lead design and execution of data insight and analytics capabilities across Alpha client datasets to support testing efficiency, accelerate insights, and enhance data‑driven decision making.
• Perform advanced analytics and modelling to address emerging and current business needs across multiple product and functional areas.
• Define data requirements and lead data collection, processing, cleaning, analysis, modelling, and visualisation activities across structured and unstructured datasets.
• Develop analytical toolkits, reusable components, and research techniques to support ongoing service delivery and product innovation.
• Analyse client and internal datasets to identify trends, patterns, and anomalies, providing clear recommendations to improve decision‑making.
• Support classification‑based account reference data needs that require enhanced modelling and handling beyond the current capabilities of RDP and ACM.
• Identify opportunities to improve operational efficiency, including measurement of data quality uplift, issue frequency, and impact.
• Provide implementation teams with holistic data insights to accelerate onboarding timelines and improve end‑to‑end data understanding within client environments.
• Design, develop, and maintain complex, scalable visualisation solutions (e.g., dashboards, analytics models, reporting suites).
• Work collaboratively with cross‑functional teams to define meaningful dashboards and reporting that adds measurable value.
• Present insights clearly to senior leadership, clients, and prospects across a range of technical and non‑technical audiences.
• Act as a strategic partner to domain leads, contributing analytics expertise to product development, service evolution, and client engagements.
• Provide context and analytics around issue severity, volume, and prioritisation to guide team focus and track improvement over time.

• Strong analytical mindset with the ability to break down complex problems.
• Advanced quantitative skills, including strong mathematics and statistics.
• Demonstrated expertise in identifying trends and patterns within large datasets.
• Strong proficiency in Python, R, and SQL with the ability to build robust analytical solutions.
• Proven experience across the full data science lifecycle: stakeholder engagement, data wrangling, modelling, delivering insights and visualisations.
• Confident ability to tell compelling stories with data, tailoring messages to senior leaders and client stakeholders.
• Excellent influencing, communication, and collaboration skills.
• Creative problem solver with a practical and solution‑oriented mindset.
• Ability to create clear, intuitive visual displays of data.
• Leadership capabilities, including coaching or mentoring team members.

• Minimum of 10years of data science or analytics experience within an Asset Manager or financial services environment.
• Degree in Computer Science, Statistics, Operational Research, or a related field with demonstrable relevant experience.
• Hands‑on experience with classical machine learning and data analysis tools.
• Expert proficiency in SQL, Python, R, and advanced Excel.
• Experience with data visualisation tools such as Tableau or Power BI.
• Strong understanding of financial instrument data, reference data, and classification structures.
• Experience in building analytics solutions within large‑scale data environments.
• Familiarity with data management challenges across RDP, ACM, or similar platforms.

Salary Range: $90,000 – $157,500 per year.

Benefits include a retirement savings plan (401(k) with company match), health coverage (life, medical, dental, vision), disability insurance, paid leave (vacation, sick, short‑term/family care), Employee Assistance Program, incentive compensation, and tax‑advantaged savings plans.

We consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.