Junior Associate HR

Harrow
1 month ago
Applications closed

Related Jobs

View all jobs

Quantitative Analysis - Associate Director

ETRM Data Architect (Basé à London)

Data Quality & Governance Analyst

Senior Geo-environmental Engineer

HTA Evidence Synthesis Statistician (2 open roles)

Junior Data Scientist | London | SaaS Data Platform

We are inviting applications for HR Associate for an International Global Bank based in Harrow. This position is to handle day to day HR activities and reporting to the Head of HR .

JOB ROLE

This is a generalist role with emphasis on the employee relations. The post holder would be responsible for taking ownership of and managing the end to end HR activities for State Bank of India, London Branch and State Bank of India UK Limited. He/she will be the 1st point of contact for simple ER related matters including employee grievances as well as providing guidance to line management on less complex people related issues including but not restricted to absence management, performance management, succession planning and training & development. The person will also act as an backup to the payroll resource and should have an understanding of payroll and finacle. The ideal candidate would have at least 2 years' experience as a generalist within a professional services sector. The person will also be need to be experienced in the field o recruitment and take up the end to end responsibility in the employee recruitment cycle.

JOB RESPONSIBILITY

Employee Relations:

  • Provide advice and guidance to staff across all aspects of HR policy, practice and employment legislation as required and continuously be proactive in promoting an understanding of these throughout the organisation. This may, for example, include matters such as sickness, absences, maternity & paternity, performance management, contractual T&C's and staff well-being.

  • Develop proposals and approval notes for any contractual changes e.g. change in working hours, flexible working, pay rises, promotions and so on.

  • Advise managers and staff on changes to roles and job descriptions ensuring that the Bank adopts a consistent, fair and legally robust approach.

  • Promotes effective relationships with the business to facilitate and drive good employee relations across the organization, coaching managers where applicable

  • Conduct Exit Interviews and utilize feedback as a medium for identifying areas for improving employee relations and promoting employee engagement.

    Recruitment:

  • Handle the recruitment process for the Bank end to end.

    Sickness & Absence:

    To maintain and record all absence records.

  • Address cases to the Line Manager and HR Manager where the employee hits the sickness trigger.

  • Co-ordinating sickness meetings and arrange to send letters wherever applicable.

    Payroll:

  • Responsible for collating all payroll changes for assigned business clientele. Making sure all the payroll changes are filed correctly in e-payroll folder and payroll files.

  • Occasional inputting new starters and leavers on ADP.

  • Checking the payroll.

  • MI Reporting.

    Organise HR Events:

  • To organise HR Events such as Annual Staff-Get together, Employee if the Month ceremonies or Christmas Parties, if required.

    Policies and Procedures:

  • Supports the Head HR with the implementation of HR strategy and transalting it in to policies and processes.

  • Participates in the implementation of specific programs, procedures and guidelines to help align the workforce with the strategic goals of the organisation.

  • Actively monitor and review HR policies and processes suggesting changes to support continuous improvement and ensure the provision of a high level HR support service for all staff.

  • Promotes an employee-oriented culture that emphasizes quality care, continuous improvement, and culture change in long-term care, customer service and high performance.

    HRIS:

  • Maintaining HR information system records and ensures data integrity. Responsible for preparing and collating reports as and when required.

  • Maintains and ensures that organizational structures and other Human Capital data & documents are updated, current and maintained in a timely and efficient manner.

  • MI Reporting.

    Backup to payroll resource:

  • Understand the payroll process and act as a checker to the payroll input file

  • Gain basic understanding of ADP and finacle

    Ad hoc Projects & Reporting:

  • To provide general support to the HR department by undertaking any other duties delegated by the Head of HR.

  • Some projects which may need help are such as Probation, Visa, Pension

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.