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- Tasks: Lead data onboarding and operations, ensuring reliability and scalability of our data platform.
- Company: Join a leading asset management firm at the forefront of finance and technology.
- Benefits: Competitive salary, comprehensive benefits, and a collaborative work culture.
- Why this job: Make a significant impact on our core data infrastructure while driving innovation.
- Qualifications: 6+ years in data operations within financial services and strong leadership skills.
- Other info: Dynamic environment with opportunities for career growth and professional development.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking a seasoned leader to scale our centralized function for onboarding and operationalizing third-party data across the firm. This is a senior leadership role for someone who has operated at the intersection of data engineering and financial services where data ingestion, reliability, and operational rigor are mission critical. You will inherit a growing team and be accountable for transforming operational complexity into disciplined, repeatable, scalable process. You will help modernize and scale this function in partnership with engineering, using automation and AI where they add real value. We are not seeking an AI expert or a software engineer, but a seasoned practitioner who can drive the operating model from experience and a strong product mindset.
Key Responsibilities
- Platform Operations & Service Reliability
- Own end-to-end operational accountability for the Data Platform, including 24x7 monitoring, alerting, and incident response.
- Define, govern, and continuously improve SLAs, SLOs, and KPIs for platform performance and data availability.
- Drive operational excellence through rigorous process design — SOPs, runbooks, escalation paths, and knowledge repositories that reduce dependency on tribal knowledge.
- Support audits, compliance reviews, and data governance initiatives in partnership with legal, risk, and compliance teams.
- Own the end-to-end onboarding lifecycle for new datasets and data pipelines.
- Develop and enforce standardized onboarding frameworks, checklists, and acceptance criteria across asset classes.
- Ensure all onboarded data meets security, governance, and quality standards.
- Incident & Problem Management
- Lead triage and resolution of data platform incidents, driving rapid response and clear stakeholder communication.
- Own post-incident reviews, root cause analysis (RCA), and long-term remediation tracking.
- Partner with platform engineering to systematically eliminate recurring failure modes.
- Track and improve key operational metrics including MTTR, incident frequency, and problem resolution rate.
- Stakeholder Experience
- Serve as the senior leader accountable for ensuring data is scalable, usable, and reliable for all data consumers across the firm — PMs, quant researchers, traders, and technology teams.
- Own user-facing service forums, escalations, and operational reviews.
- Ensure proactive, transparent communication during incidents, planned maintenance, and platform changes.
- Build structured feedback loops to surface pain points, anticipate needs, and drive continuous experience improvements.
- Transformation & Scalability
- Define and drive a modern operating model for the function, using engineering partnerships, automation, and AI to reduce manual effort, improve quality, and scale onboarding and support.
- Identify opportunities to automate, streamline, and modernize operational workflows — reducing manual toil and improving throughput.
- Champion AI and automation initiatives that enhance operational scalability, observability, and resilience.
- Partner with engineering and product teams to embed operational requirements early in the development lifecycle.
- Lead a team responsible for centralized onboarding, data lifecycle management, and operational enablement, driving performance, development, and a culture of disciplined execution.
- Set a high bar for accountability, process discipline, and client focus.
- Provide coaching, performance management, and career development for team members.
- Build a culture where operational complexity is proactively dissolved into clear, auditable, repeatable process.
What We're Looking For
- Experience
- 6+ years in data operations, technology operations, or platform operations roles within financial services — investment banks, asset managers, hedge funds, or large data vendors serving the financial industry.
- Demonstrated experience leading data onboarding, data management, or platform-facing operational teams — not just contributing to them.
- You have built processes that scale and have a proven track record of a successful partnership with data engineering functions.
- Deep familiarity with data ingestion, pipeline operations, and data platform management in a high-volume, low-latency financial context.
- Experience managing multi-asset class data (equities, commodities, or fixed income) is strongly preferred.
- Exceptional track record of taking operational complexity and translating it into rigid, auditable, scalable process.
- Skills & Knowledge
- Expert level understanding of the complexities and challenges bringing third party data feeds that are consumable, usable, and production ready.
- Strong understanding of modern data platforms: cloud data lakes, warehouses, streaming architectures, and ETL/ELT pipelines.
- Deep expertise with monitoring, observability, and alerting tooling across distributed data systems.
- Solid grounding in Incident, Problem, and Change Management frameworks (ITIL or equivalent).
- Experience with ticketing and service management platforms.
- Excellent stakeholder management — you communicate clearly to both technical teams and senior business stakeholders.
- Ability to operate at both strategic and operational levels: setting direction while ensuring execution quality.
- Mindset
- You believe modern data functions should be built with engineering, automation, and AI at the core, not layered on after the fact.
- You are a process builder, not just a problem solver — you design systems that prevent problems from recurring.
- You bring structure to ambiguity and hold teams to high operational standards.
- You are a strong communicator who keeps stakeholders informed proactively, especially under pressure.
- You thrive in fast-paced, high-stakes environments where data reliability directly impacts investment decisions.
Why This Role
- High-visibility leadership role with direct impact on the firm's core data infrastructure.
- Opportunity to build and scale an operational function from a strong foundation.
- Work at the intersection of cutting-edge technology and institutional finance.
- Competitive compensation, benefits, and a collaborative, intellectually rigorous culture.
- Balyasny Asset Management is an equal opportunity employer.
Senior Data Analyst, Data Onboarding and Operations in London employer: Balyasny Asset Management L.P.
Contact Detail:
Balyasny Asset Management L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst, Data Onboarding and Operations in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services and data operations space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your expertise! When you get the chance to chat with potential employers, be ready to discuss your experience with data onboarding and operational processes. Share specific examples of how you've transformed complexity into scalable solutions. This will help you stand out as a seasoned practitioner.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with data platforms and operational excellence, and make sure to showcase your product mindset.
✨Tip Number 4
Prepare for interviews by brushing up on your incident management skills. Be ready to discuss how you've handled data platform incidents in the past, including your approach to root cause analysis and stakeholder communication. This will show that you can thrive under pressure and keep things running smoothly.
We think you need these skills to ace Senior Data Analyst, Data Onboarding and Operations in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience in data operations and any leadership roles you've held, especially in financial services. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've transformed operational complexity into scalable processes in your previous jobs. We love a good story!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise! Mention your familiarity with data platforms, cloud technologies, and any relevant tools you’ve used. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Balyasny Asset Management L.P.
✨Know Your Data Inside Out
Make sure you have a solid understanding of data ingestion, pipeline operations, and the specific data platforms relevant to the role. Brush up on your knowledge of cloud data lakes, warehouses, and ETL/ELT pipelines, as these will likely come up during the interview.
✨Showcase Your Leadership Experience
Prepare examples that highlight your experience leading data onboarding and operational teams. Be ready to discuss how you've transformed operational complexity into scalable processes and how you've partnered with engineering functions in the past.
✨Demonstrate Your Problem-Solving Skills
Think of specific instances where you've tackled complex operational issues. Be prepared to explain your approach to incident management, including how you conducted root cause analysis and implemented long-term solutions.
✨Communicate Clearly and Confidently
Since stakeholder management is key for this role, practice articulating your thoughts clearly. Be ready to discuss how you ensure proactive communication during incidents and how you build feedback loops to improve user experience.