Data Operations Analyst

Data Operations Analyst

Full-Time 55000 - 65000 £ / year (est.) Home office (partial)
Janus Henderson Investors

At a Glance

  • Tasks: Support Trade Operations by maintaining and validating investment reference data.
  • Company: Join a leading financial services firm with a commitment to diversity and inclusion.
  • Benefits: Enjoy hybrid working, generous holidays, health benefits, and professional development opportunities.
  • Other info: Opportunities for career growth and networking events await you!
  • Why this job: Make an impact by ensuring data accuracy and integrity in a dynamic environment.
  • Qualifications: Five years in financial services with strong analytical and communication skills.

The predicted salary is between 55000 - 65000 £ per year.

Data Operations (DO) Specialist – supports Trade Operations by maintaining investment reference data, ensuring accuracy, and providing data services to internal stakeholders.

Responsibilities

  • Maintain the accuracy and compliance of investment reference data through data cleansing, auditing, and validation activities.
  • Ensure all investment reference data elements are opened, closed, and updated in a timely and accurate manner.
  • Set improvement targets, qualify, and quantify the results of data quality efforts.
  • Conduct root‑cause investigations for issues related to master data within systems and suggest or implement solutions.
  • Recommend ways to strengthen data integrity, quality, and availability across the enterprise.
  • Collaborate with IT, data stewards, and internal business units to establish transparent, efficient, and effective processes for utilizing master data within systems.
  • Partner with IT personnel and data stewards to identify data irregularities by employing data profiling tools.
  • Keep abreast of the functionalities of master data tools, understand the flow of data through downstream systems, and grasp the rules governing data lineage.
  • Support the creation and ongoing refinement of operational policies and procedures.
  • Stay informed about the needs and business processes of all internal stakeholders.
  • Develop daily, weekly, and monthly quality dashboards that show the state of data errors and exceptions as well as progress toward specific data quality targets.
  • Assist in the design, development, testing, and implementation of new processes and/or system enhancements to ensure that the design meets business requirements while improving department efficiency and effectiveness.
  • Carry out additional duties as assigned.

Qualifications

  • Five years of experience within the financial services industry focused on security reference data.
  • Experience in data operations/reference data approaches and quality practices in a large financial organization.
  • Knowledge of market data vendors such as Bloomberg, Thomson Reuters, Markit EDM, Sedol Web.
  • Knowledge of various instrument products including equities, fixed‑income, and derivatives.
  • Bachelor’s degree or equivalent work experience.
  • Excellent written and verbal communication skills.
  • Ability to build effective relationships at all levels of the business.
  • Critical thinking, adaptability, strong analytical mindset, attention to detail, problem‑solving skills.
  • Proactive in establishing processes and best ways of working.
  • Preferred Skills
  • IMC, CFA Level 1.
  • Basic Excel, SQL, VBA skills.

Work Environment

Hybrid working model with reasonable accommodations. Opportunities for professional development, training, and career development services.

Benefits

  • Hybrid working and reasonable accommodations.
  • Generous holiday policies.
  • Health and wellbeing benefits and corporate membership to Wellhub.
  • Paid volunteer time.
  • Professional development courses, tuition/qualification reimbursement.
  • Maternal/paternal leave benefits and family services.
  • Employee events and networking opportunities.
  • Lunch allowance.

Compensation

Annual discretionary bonus opportunity based on company, department, and individual performance.

Legal

Janus Henderson Investors is an equal‑opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

All applications are subject to background checks.

Applicants must adhere to the Investment Advisory Code of Ethics and related disclosure and certification requirements.

#J-18808-Ljbffr

Data Operations Analyst employer: Janus Henderson Investors

At Janus Henderson Investors, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through our mentoring programs, professional development courses, and generous benefits, including hybrid working options and a focus on health and wellbeing. Located in a vibrant financial hub, we provide our team with the resources and support needed to thrive in their careers while making meaningful contributions to investment strategies.

Janus Henderson Investors

Contact Details:

Janus Henderson Investors Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Operations Analyst

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Janus Henderson Investors!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Operations Analyst at Janus Henderson Investors.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Janus Henderson Investors.

Apply Directly through Our Website

When you find a suitable opening like Data Operations Analyst at Janus Henderson Investors, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Operations Analyst

Data Cleansing
Data Auditing
Data Validation
Data Quality Management
Root Cause Analysis
Data Profiling
Master Data Management

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Janus Henderson Investors, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Janus Henderson Investors. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Janus Henderson Investors

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Janus Henderson Investors!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.