Quantitative Data Operations Job at Fidelity Investments (London)

Director, Quantitative Data Operations

Quantitative Research and Investments (QRI) is seeking a data expert in the doma...

Location

United Kingdom , London

Salary:

Not provided

Fidelity Investments

Expiration Date

Until further notice

Requirements

Proven experience with market risk models from leading vendors such as Barra, Axioma, Northfield, and Bloomberg
Strong analytical capabilities with a demonstrated ability to comprehend large datasets and implement effective data quality controls
Proactive and self-motivated approach, with the ability to work independently while providing oversight and mentorship to junior team members
Deep understanding of financial data including security, company, portfolio, and index-level information, as well as pricing across equities, bonds, and derivatives
Proficiency in SQL, Python, Snowflake, and/or Oracle, with hands-on experience in data quality frameworks and automation tools
Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance
5+ years of experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions
Expertise in anomaly detection methods, statistical tools, and best practices for managing data quality workflows
Excellent communication skills, with experience collaborating across technical, investment, and senior leadership teams
Demonstrated leadership in team environments, including mentoring junior associates and driving process improvements

Job Responsibility

Lead a Risk Platform Operations team responsible for ensuring that all vendor and internal portfolio risk analytics used for risk management and portfolio construction across Fidelity are delivered consistently, accurately and on a timely basis
Provide data expertise to portfolio and risk managers who use portfolio risk models and engineering teams which build production processes around them
Mentor more junior members of the team, helping them gain the domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer investor questions, and develop automated systems for identifying data quality issues

Fulltime

Data Operations Specialist

We will hire Data Operations Specialists who will be accountable for the deliver...

Location

Turkey , Istanbul

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Preferably 1 year + experience in service delivery or shared service delivery
Service oriented/Customer service mindset
Excellent IT literacy/knowledge required (technology savvy)
Experience in commercial system administration
Preferable knowledge in CRM & commercial tools based on Salesforce.com, such as PforcRX, Veeva Vault, etc.
Advanced Excel skills (working with formulas, parameters)
Experience in data stewardship, reporting and analytics delivery
Background in pharmaceutical market preferable though not essential
Self-motivated
High level of independent and service oriented working attitude

Job Responsibility

Deliver data validation and stewardship for data sets in scope
Deliver reporting and analytics to commercial operations colleagues
Deliver data extractions from multiples databases
Deliver calculation, attainment, monthly data upload, validations and reporting of CFC incentives
Manage and administer in scope CFC & marketing related applications e.g. SFA, promotional materials
Deliver self-service technical configuration of CFC related applications
Propose and deliver solutions and ideas for any problems and issues faced
Prioritize requests and manage workload according to plan
Follow SLA & guidelines and timeline established for the team
Deliver high quality for any activities in scope

Fulltime

Senior Customer Operations Data Analyst

As a Senior Customer Operations Data Analyst, you will play a pivotal role in an...

Location

United States; Canada; Mexico , San Francisco; Atlanta; Austin; Boston; Chicago; Dallas; Denver; Houston; Jacksonville; Los Angeles; Miami; New York City; Phoenix; Portland; Sacramento; Salt Lake City; San Diego; Seattle; Washington, D.C.; Ottawa; Toronto; Vancouver; Mexico City

Salary:

115000.00 - 148000.00 USD / Year

Scribd

Expiration Date

Until further notice

Requirements

3+ years of experience in an analytical or reporting role in Customer Support or Customer Operations within a digital consumer industry, with a strong focus on working autonomously to solve problems
Proficient in using data analytics tools including SQL, Python, Databricks, Looker, and Zendesk Explore (or similar BI tools)
Strong working knowledge of MS Excel and/or Google Sheets
A Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, or Computer Science)
Solid knowledge of statistical concepts, including experimental design, hypothesis testing, regression analysis, and forecasting
Exceptional communication and presentation skills, with the ability to translate complex data into clear, actionable recommendations for technical and non-technical stakeholders
A passion for analyzing user behavior and proven ability to combine product-level and CS data with customer-level data to understand key drivers of performance
Experience with agile workflows and collaboration across product, research, and operations teams
Detail-oriented with strong analytical, critical thinking, and problem-solving skills
Ability to work independently, manage multiple tasks, prioritize effectively, and meet deadlines in a fast-paced environment

Job Responsibility

Data Collection, Synthesis, and Analysis: Gather, analyze, and interpret data to provide insights on customer support data and trends. Create pipelines for the collection and processing of new data from customer support sources
Reporting & Insights: Create comprehensive reports in Databricks, Looker, Google Sheets, Zendesk, and/or similar tools to monitor key metrics
Performance Metrics: Evaluate the effectiveness and performance of Customer Support goals, initiatives, and projects. Conduct in-depth analyses of performance, measuring KPIs such as service level achievement, customer effort & satisfaction, and user retention
Customer Insights: Analyze customer feedback and behavior patterns in response to product changes and on an ongoing basis
Forecasting: Forecast contact volumes and capacity needs
Roadmapping: Collaboratively manage the Customer Support’s data analysis roadmap with leadership
Collaboration: Work cross-functionally with stakeholders across Customer Support, Data & Analytics, Product, Engineering, and User Research
Leveraging Technology: Use AI and BI to enhance customer support operations and increase efficiency. Develop and maintain dashboards and reports and own communication of critical marketing metrics and campaign performance to team leads and executive stakeholders
Process Improvement: Provide actionable insights to stakeholders through data analysis, and identify opportunities for improvements operational efficiency. Stay informed about the latest Customer Support trends, analytics tools, and methodologies to continuously improve performance and methodologies
Project Support: Understand, document, and communicate business requirements for projects and process changes

What we offer

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products

Fulltime

Associate Director Quantitative Data Modeling

The Associate Director will play a key role in advancing Sanofi’s internal pipel...

Location

United States , Morristown

Salary:

148500.00 - 247500.00 USD / Year

Sanofi

Expiration Date

Until further notice

Requirements

Ph.D. in pharmacometrics, biopharmaceutics, pharmaceutical sciences, mathematics, statistics, data science, computational biology, chemical/biomedical engineering, system pharmacology, computer science or closely related discipline
At least 5 years of industrial experience with a record of increasing responsibility and independence
Strong quantitative skills including mathematics, statistics, data science, AI/ML
Deep and extensive experience with advanced population modeling approaches (e.g. PPK, PKPD) and complex methodologies such data analytic, AI/ML and mechanistic modeling
Proficiency in conducting model-based analyses using standard pharmacometrics software (e.g., NONMEM, R, Monolix, etc.)
Proficiency in integrating and analyzing internal and external data to support decision making
Strong written and verbal communication skills, interdisciplinary collaboration, problem scoping and planning
Good knowledge of industry best practices, global regulatory, processes, standards of drug development
Technical expertise in several areas ranging from classic translational and population PK modeling, PK/PD modeling, exposure-response modeling, clinical trial simulation, drug-disease modeling, PBPK modeling, to advanced complex methodologies such as data analytics, machine learning and mechanistic modeling
Strong background in different M&S software such as NONMEM, R, Monolix, Phoenix NLME, PUMAS, Matlab, PKsim, SimCYP, SAS, Python, C/C++, Julia

Job Responsibility

Formulate drug development questions and develop modeling and simulation strategies for optimizing model-informed drug development in all stages of development
Conduct with minimal supervision model-based analyses such as population pharmacokinetics (PPK), PK/PD, exposure response, model-based meta-analysis, clinical trial simulations and disease progression modeling to drive internal pipeline forward
Conduct innovative quantitative methodologies such as data analytics, machine learning and mechanistic modeling as needed
Serve as M&S representative for clinical development projects
Act as a subject matter expert addressing technical and theoretical issues in the M&S area
Be able to operate in a multicultural environment and participate in international teams
Prepare and issue stand-alone M&S reports with minimal review
Summarize documents for submission to regulatory agencies, including but not limited to the FDA and EMA
Prepare abstracts, posters and manuscripts for external presentation and/or publication
Present at external scientific meetings as appropriate

What we offer

High-quality healthcare
Prevention and wellness programs
At least 14 weeks’ gender-neutral parental leave

Fulltime

Project Operations and Data Analyst

Ten10 is seeking a high-performing Project Operations & Data Analyst to join a f...

Location

United Kingdom , Milton Keynes

Salary:

Not provided

Ten10

Expiration Date

Until further notice

Requirements

Advanced proficiency in Excel/VBA (automation focus)
Advanced proficiency in Power BI (visualization focus)
Deep experience navigating and structuring data within Jira and MS Project
Strong understanding of project management frameworks and the ability to maintain audit-ready documentation
Experience working with senior leadership and the ability to influence stakeholders through data-driven insights
A natural inclination to identify bottlenecks and a 'builder' mentality to fix them

Job Responsibility

Automation & Systems Engineering: Act as the SME for internal reporting
Architect bespoke VBA macros and Excel-based tools to eliminate manual data entry
Business Intelligence & Data Storytelling: Design and maintain executive-level Power BI dashboards
Translate complex project health metrics into high-impact visual narratives for non-technical senior stakeholders
Rigorous Project Governance: Own the integrity of the project’s technical artifacts
Manage the digital architecture of charters, risk logs, and schedules within Jira and MS Project
Strategic Process Optimization: Conduct deep-dive quantitative analysis of 'AS-IS' system flows
Build robust, data-backed business cases to justify 'TO-BE' process enhancements
Operational Leadership: Facilitate the project’s rhythm—including daily stand-ups and weekly syncs
Maintain strict oversight of budget spend and deliverable quality control

Data Scientist (with Operations Research focus)

As a Data Scientist, you will work on developing innovative data-driven solution...

Location

Hungary , Budapest

Salary:

Not provided

Randstad

Expiration Date

July 31, 2026

Requirements

Master's degree in a quantitative field (e.g., Data Science, Mathematics, Econometrics)
Experience in data science or operations research (5–7+ years)
Strong programming skills in Python and/or R
Solid knowledge of SQL and data analysis
Experience with machine learning, optimization, and NLP techniques
Strong communication skills to translate technical insights to business users

Job Responsibility

Translate business problems into machine learning and optimization models
Perform in-depth data analysis using statistical and programming techniques
Develop and deploy predictive and prescriptive models
Define and monitor KPIs and model performance
Collaborate with product owners and stakeholders to identify business opportunities
Convert analytical solutions into production-ready products
Support incident management and model reliability
Share knowledge and coach colleagues in data science

What we offer

A dynamic and international environment
Opportunity to work on real-world, large-scale problems
Strong focus on personal development and growth
Hybrid working and flexibility
Benefits such as travel discounts and learning budget

Fulltime

Sr. Data Analyst GTM Operations

Smartsheet is looking for an experienced Sr. Data Analyst to support and acceler...

Location

United Kingdom , London

Salary:

Not provided

Smartsheet

Expiration Date

Until further notice

Requirements

Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
5+ years of experience in an analytics role with increasing responsibility
Experience in Cloud and SaaS go-to-market (GTM)
Expertise in SQL and preparing data for analysis, modeling, and visualization
Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.
Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
Experience publishing and presenting data and findings to executives and non-data users
Legally eligible to work in the UK on an ongoing basis

Job Responsibility

Act as a business partner to Sales leaders to understand and identify essential business questions and challenges
Lead projects to develop answers and solutions to those questions and challenges as well as developing KPIs to track results
Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel
Partner with engineering, data science, and other analytics teams to build scalable analytics solutions
Present insights to executives that will drive performance improvements and establish scalable process enhancements across the organization
Mine large datasets, draw relevant insights and create visualizations to summarize findings
Analyze and monitor data for anomalies (recognizing trends and data quality)
Guide commission and territory planning processes with analytical support
Be a mentor and leader to the more junior analysts on the team
Perform other duties as assigned

Fulltime

Sr. Data Analyst GTM Strategy & Operations, EMEA

We're hiring a Senior Analyst to help run the engine room of Smartsheet's EMEA G...

Location

United Kingdom , London

Salary:

Not provided

Smartsheet

Expiration Date

Until further notice

Requirements

3-5 years in sales strategy, sales operations/revenue operations, FP&A, management consulting, or a comparable analytical role in B2B SaaS or enterprise tech
Strong analytical chops. Salesforce, Tableau, advanced Excel, G-Suite
Demonstrated use of AI tools to move faster on analysis, summarization, and recurring ops work
A track record of taking ambiguous business questions and turning them into something a leader can act on
Strong written and verbal communication, especially with senior audiences
Bias for execution and speed
Bachelor's degree in a quantitative or business field, or equivalent experience
Legally eligible to work in the UK on an ongoing basis

Job Responsibility

Pipeline health and pipeline tracking for EMEA, including the analytical layer behind the weekly EMEA Pipe Council
Forecast inspection. Deal slippage, coverage ratios, conversion diagnostics, segment-level trends
Recurring reporting and dashboards in Salesforce and Tableau that give EMEA leadership a clear view of the business
QBR and monthly business review prep for the EMEA SLT. The data, the narrative, and the recommendations
Ad-hoc strategic deep dives. Account whitespace, territory rebalancing inputs, capacity scenarios, pipe gen ROI
Operational friction work across the resolver network (Order Ops, Deal Desk, FinOps, Sales Success) to unblock the field
Partner reporting and channel performance support, including global partner workstreams with GSIs like PWC
Perform other duties as assigned

Fulltime

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