At a Glance
- Tasks: Maintain and enhance investment reference data accuracy while collaborating with various teams.
- Company: Join a leading financial services firm committed to innovation and employee growth.
- Benefits: Enjoy hybrid working, health perks, paid volunteer time, and professional development support.
- Other info: Opportunities for training, career growth, and annual bonus potential.
- Why this job: Make a real impact on data quality in a dynamic financial environment.
- Qualifications: Experience in data operations and strong analytical skills required.
The predicted salary is between 40000 - 50000 £ per year.
Your opportunity
The Data Operations (DO) department is a part of Trade Operations and plays a vital role in supporting the business's success.
We are tasked with setting up various types of instrument vehicles for the desk (PMs, Traders) and are also responsible for maintaining the data quality of our securities universe.
Additionally, we support various stakeholders, including Client Reporting, Dealers, Fund Managers, Risk, Compliance, Performance Teams, and Complex Securities, among others.
You have the responsibility of executing numerous tasks related to the upkeep of all investment reference data, including Security Setup & Maintenance, Fund Setup & Benchmarks Maintenance, Ratings, Indices, and more, across various systems.
This encompasses a wide range of investment products, aiming to deliver precise, timely data that supports analytics, risk management, trading, finance, compliance, marketing, and client reporting.
Your duties also involve creating and examining reports on a daily, weekly, and monthly basis to verify their accuracy, ensure compliance, and maintain control.
You will
- 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 both timely and accurately.
- 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 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.
- What to expect when you join our firm
- Hybrid working and reasonable accommodations
- Excellent health and wellbeing benefits including corporate membership to Wellhub
- Paid volunteer time to step away from your desk and into the community
- Support to grow through professional development courses, tuition/qualification reimbursement and more
- Maternal/paternal leave benefits and family services
- All employee events including networking opportunities and social activities
- Lunch allowance for use within our subsidized onsite canteen
- Must have skills
- Experienced in data operations/reference data approaches, quality practices in large financial organization(s).
- Knowledge of Market Data Vendor such as Bloomberg, Thomson Reuters, Markit EDM, Sedol Web.
- Knowledge of various instrument products such as Equities, Fixed Income and Derivatives.
- Five‑year experience within the financial services industry specifically focused on security reference data.
- Bachelor’s degree or equivalent work experience required.
- 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
- Enjoys problem solving.
- Proactive in establishing processes and the best ways of working.
- Nice to have skills
- Basic Excel skill, SQL, VBA
- Supervisory responsibilities
- No
- Potential for growth
- Regular training
- Continuing education courses
- Annual Bonus Opportunity
Position may be eligible to receive an annual discretionary bonus award from the profit pool.
The profit pool is funded based on company profits.
Individual bonuses are determined based on company, department, team and individual performance.
Benefits
Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits.
Equal Opportunity
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.
Regulatory Obligations
You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities.
Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.
Regulatory Compliance Reminder
You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.
#J-18808-Ljbffr
Data Operations Analyst in London employer: Janus Henderson AAA CLO ETF
At Janus Henderson, we pride ourselves on being an exceptional employer, offering a dynamic work culture that prioritises collaboration and diversity. Our London office provides a supportive environment with hybrid working options, comprehensive health benefits, and ample opportunities for professional growth, ensuring that our employees can thrive both personally and professionally while contributing to meaningful financial outcomes for our clients.
Contact Details:
Janus Henderson AAA CLO ETF Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Analyst in London
✨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 AAA CLO ETF!
✨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 AAA CLO ETF.
✨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 AAA CLO ETF.
✨Apply Directly through Our Website
When you find a suitable opening like Data Operations Analyst at Janus Henderson AAA CLO ETF, 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 in London
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 AAA CLO ETF, 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 AAA CLO ETF. 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 AAA CLO ETF
✨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 AAA CLO ETF!
✨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.
