Senior Securities Data Analyst, Pricing & Custody Data, Investment Management

JJ SEARCH LIMITED
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Engineer

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Scientist

Senior Data Engineer

Senior Data Analyst

Overview

This range is provided by JJ SEARCH LIMITED. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from JJ SEARCH LIMITED

The Company

Our client is a highly successful and expanding Investment Management firm, widely recognised with an excellent reputation based in London.

The Role

The Senior Securities Data Analyst role sits within the Securities & Data Team - this is part of the Custody & Execution Services business area of the Investment Management firm.

The Senior Securities Data Analyst will primarily be responsible for maintaining securities data, pricing and classification information on the investment management system platform and will provide day-to-day data support for the Front Office and liaise with vendors and other internal teams to ensure high level of Securities and Investment Management firm data accuracy.

The Senior Securities Data Analyst will be expected to identify process improvements and efficiencies, as well as taking on additional responsibilities.

The Senior Securities Data analyst will also assist the project team with testing releases/upgrades from the investment management system platform, including review and updating existing procedures for the maintenance of securities data and implementing data quality checking processes to mitigate risk.

Maintain the Stock File for both listed and unlisted stocks and products, assure the accuracy of Stock File information, responding to all incoming queries from Investment Managers and Clients with daily and monthly updates of manual prices.

The Senior Securities Data Analyst will ensure that the industrial and geographical classifications of stocks are correctly reported on client’s portfolios, monitor price movements and corporate actions, ensure the overnight pricing files from our data vendor and Reference data have been received and populated correctly on the the investment management system platform.

The Senior Securities Data Analyst will liaise with the Investment Research team to ensure approved funds are correctly reported, generate and recalculate composite benchmarks. Loading new stocks: on request for the Front Office, Research and the Transfers team.

The Senior Securities Data Analyst will act as a point of contact and subject matter expert on Securities & Firm Data issues. Build strong working relationships with the Front Office, and the wider Custody Control team, Client Reporting and other teams within the Custody Services department.

The Candidate

  • Strong Data Analyst skills - working with Securities data and pricing data within the Investment Management industry is essential
  • Analytical skills with the ability to collect organize and analyse and disseminate significant amounts of information accurately
  • Knowledge of FNZ’s Figaro system is desirable
  • Good working knowledge of Bloomberg and ICE is desirable
  • Excellent written and oral communication skills
  • A team player
  • Strong focus on consistency, accuracy and quality with an excellent attention to detail

Seniority level

  • Not Applicable

Employment type

  • Full-time

Job function

  • Analyst

Industries

  • Investment Management
  • Investment Banking
  • Financial Services


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.