At a Glance
- Tasks: Build and support reconciliations on TLM Premium, analyse requirements, and implement solutions.
- Company: Join a leading financial services firm with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a strong emphasis on collaboration and continuous improvement.
- Why this job: Make an impact in the finance sector while developing your technical skills.
- Qualifications: Experience with TLM Premium, Oracle databases, and Unix shell scripting required.
The predicted salary is between 50000 - 65000 £ per year.
We are looking for a Consultant with strong hands-on experience in building and supporting reconciliations on TLM Premium 2.5 or higher version platform. The candidate is expected to have good knowledge of various types of reconciliation controls (Nostros, Depos, Inter Accounts, Intersystem, FOBO, FOCL) for the various Capital Markets asset classes, which will be required to understand business and build reconciliations for the same.
Candidate must have:
- Reconciliation build experience using TLM Premium 2.5 or higher.
- Strong Oracle database development skills.
- Hands-on experience with Unix Shell scripting commands.
- Production Support experience is good to have.
- Exposure to any reporting tool (BIRT, Crystal / SAP BO etc.).
- UNIX Solaris, Linux Shell scripting (bash/Vi Editors / PowerShell).
What you will do:
- Perform comprehensive requirement analysis, development, testing (UNIT / SIT / UAT) and implementation of the reconciliations on the Recs platform TLM Premium 2.5 or higher into the production environment.
- Expertise in Smart stream TLM tool with hands-on experience on TLM Premium 2.5 or higher version.
- Detailed hands-on experience with TLM TOOLS such as SMART STUDIO, Smart Schema, Recon Admin, web Connect, Control & CT tools.
- Expertise in Oracle (especially TLM tables knowledge) and good hands-on writing SQL stored procedures.
- TLM database table linkages for analysing production issues from the backend.
- Expertise in exception management and breaks allocation automation on the TLM platform.
- Well versed in TLM services, usage & logs validation for debugging.
- Develop stored procedures, triggers and functions for reconciliations and end-user reports using Oracle database.
- Production Support will also be one of the responsibilities of the team, which goes on a rotational basis.
- Knowledge of Oracle Database Troubleshooting, using profiler, database backup procedures.
- Environment knowledge like troubleshooting Windows issues, understanding Unix logs and Linux/Unix Solaris services knowledge, patching, server maintenance, application installation, building environments, security patching, network maintenance.
- Exposure to Agile and DevOps culture.
- Very good communication skills to convey clear details to end users/clients for any challenges faced during build or testing.
- Knowledge of automated deployment tools will be an added advantage.
What you will need to succeed in the role:
- Advanced knowledge working with TLM TOOLS such as SMART STUDIO, Smart Schema, Recon Admin, web Connect, Control & CT tools.
- Solid SQL experience on Oracle Database and its performance optimisation.
- Understanding complex DB objects – stored procedures, database views, triggers, and database structure.
- Ability to write complex SQL queries – joins, updates, scripts for analysis etc.
- Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement.
- Re-engineering the business processes and building short relationships with business and operations.
- Good understanding of Capital Markets, Trade Lifecycle of the various Asset classes, which assist in building better reconciliation controls on the TLM Premium recs platform.
What additional skills will be good to have?
- Knowledge of cloud concepts and cloud architecture, different types of cloud computing (preferably GCP).
- Exposure to any Reporting/Analytics tool like BIRT, Crystal/SAP BO/Qliksense/Qlikview etc.
- Knowledge of DevOps principles & tools like GitHub/Jenkins, Jira, Confluence.
- Any programming language experience (Python, JAVA).
- Scripting knowledge on VB, Perl, PowerShell.
StudySmarter Expert Advice🤫
We think this is how you could land Marketeer (Permanent) in City of 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 Infinity Quest!
✨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 Marketeer (Permanent) at Infinity Quest.
✨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 Infinity Quest.
✨Apply Directly through Our Website
When you find a suitable opening like Marketeer (Permanent) at Infinity Quest, 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 Marketeer (Permanent) in City of 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 Infinity Quest, 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 Infinity Quest. 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 Infinity Quest
✨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 Infinity Quest!
✨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.
