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- Tasks: Lead data onboarding and operations, ensuring reliability and scalability of our data platform.
- Company: Join Balyasny Asset Management, a leader in financial services with a focus on innovation.
- Benefits: Enjoy competitive pay, great benefits, and a collaborative work culture.
- Why this job: Make a real impact on our core data infrastructure while working with cutting-edge technology.
- Qualifications: 6+ years in data operations within financial services and strong leadership skills required.
- Other info: Opportunity for career growth in a fast-paced, high-stakes environment.
The predicted salary is between 54000 - 84000 £ 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your experience aligns with their needs, especially around data operations and scalability.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Share specific examples of how you’ve transformed operational complexity into streamlined processes in your previous roles.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you note can keep you top of mind and show your enthusiasm for the role. And remember, apply through our website for the best chance!
We think you need these skills to ace Senior Data Analyst, Data Onboarding and Operations
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 passionate about data onboarding and operations. Share specific examples of how you've transformed operational complexity into scalable processes in your previous roles.
Showcase Your Technical Skills: Don’t forget to mention your expertise with data platforms, cloud technologies, and incident management frameworks. 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 directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our team!
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 mentioned in the job description. Be prepared to discuss your experience with multi-asset class data and how you've tackled operational complexities in the past.
✨Showcase Your Leadership Skills
This role is all about leading teams and driving operational excellence. Prepare examples that highlight your experience in managing teams, developing processes, and ensuring accountability. Think about how you've transformed complex operations into scalable processes before.
✨Communicate Clearly and Confidently
You’ll need to communicate effectively with both technical teams and senior stakeholders. Practice articulating your thoughts clearly, especially under pressure. Consider how you would explain complex data issues in simple terms to non-technical audiences.
✨Emphasise Your Problem-Solving Mindset
Be ready to discuss how you approach problem-solving and process design. Highlight your ability to build systems that prevent issues from recurring, rather than just fixing them as they arise. Share specific examples where you've implemented automation or AI to improve operational workflows.