Economic Modeller Job at Hutcheon Mearns Ltd (Edinburgh)

Finance Projects & Economic Modeller

You will be leading and responsible for handling the Project Finance documents a...

Location

United Kingdom , Edinburgh

Salary:

Not provided

Hutcheon Mearns Ltd

Expiration Date

Until further notice

Requirements

Demonstrable experience in economic/financial modelling
A degree within a relevant field – economics, finance, or engineering
Advanced experience with excel based modelling

Job Responsibility

Coordinate lender responses and requests, updating DSCR statement making debt repayments & distributions, addressing any ad-hoc waiver request
Coordinate the lender covenant monitoring process, ensuring that areas of potential non-compliance are identified and escalated
Coordinate reporting to lenders, being aware of deadlines and deliverables and interact with the rest of the teams within the company providing inputs in a timely manner
Continuously maintain, enhance and operate economic models to provide reporting to the project management team, UK business unit finance team and project stakeholders such as lenders and lenders’ advisors
Engage with wider project team including project controls, commercial and technical staff to define and optimise the interface between project cost and technical parameters and the financial model
Provide detailed analysis of the ongoing economics of projects which can be reported at board level
Provide regular and ad hoc analysis to support project and financial decision-making processes
Support yearly business planning with regards to financial modelling and contribute to the integration between project financial models and requirements of project sponsors and lenders
Engage with independent financial advisors where required in order to develop and validate financial models and associated assumptions
Support shareholders to place and manage equity bridge loans

Fulltime

Marketing Manager

Location

United Arab Emirates , Abu Dhabi

Salary:

Not provided

HiRemoters

Expiration Date

Until further notice

Requirements

6–10 years in marketing, with at least 2 years in a leadership or team-management capacity
Demonstrated ownership of full-funnel marketing: brand, lead generation, content, and channel performance
Strong commercial mindset — you understand sales pipelines, lead quality, and conversion economics
Experience managing creative and performance specialists
Hands-on experience setting up and running Meta and Google paid campaigns (you should be able to launch campaigns yourself if needed)
Comfortable with analytics tools (GA4, Meta Business Manager, basic SQL or spreadsheet modelling)

Job Responsibility

Marketing strategy & planning
Lead generation
Brand building
Team leadership
Content production oversight
Channel ownership
BD partnership
Reporting

What we offer

Flexible and Remote Working
Career Growth
Performance Recognition
Health and Fitness Benefits
Extra Paid Annual Leave
Special Birthday Perk

Fulltime

New

Lead, FP&A Analyst

Xometry is looking for a Lead, FP&A Analyst to serve as a strategic architect of...

Location

India , Bangalore

Salary:

Not provided

Cherry Ventures

Expiration Date

Until further notice

Requirements

5+ years of progressive experience in FP&A, Corporate Finance, or Investment Banking, ideally within a high-growth or public company environment
Bachelor’s Degree in Finance, Accounting, Economics, or a related quantitative field (MBA or CFA a plus)
Advanced Financial Modeling: Expert-level Excel skills with the ability to build scalable, complex, and error-proof models
Technical Proficiency: Strong working knowledge of BI tools (e.g., Tableau, Looker)
Business Partnership: Proven track record of influencing senior stakeholders and translating financial data into actionable business strategy
Operational Excellence: Demonstrated ability to manage multiple workstreams in a startup-like environment while maintaining a meticulous eye for detail
Problem-Solving: A proactive mindset that identifies bottlenecks before they occur and implements structural solutions

Job Responsibility

Strategic OpEx Ownership: Lead the end-to-end operating expense forecasting process, acting as a financial consultant to department heads, conducting monthly BvA reviews, managing headcount strategy, and driving the annual planning cycle
Advanced Cash Flow Modeling: Drive complex cash flow forecasting and develop sophisticated models to analyze liquidity movements and working capital trends over time
Consolidated Global Forecasting: Own and evolve the global forecast models, synthesizing inputs from across the FP&A team to provide a cohesive, high-level view of variances and business drivers to the CFO and executive team
Systems & Process Architecture: Lead the charge on automation, optimizing planning and reporting tools, ensuring the finance tech stack scales with the company’s growth
Insights over Data: Move beyond running extracts to building dynamic reports and analytical frameworks that provide preliminary close insights and long-term trend analysis
Strategic Advisory: Conduct high-impact ad hoc analysis to support contract negotiations, M&A due diligence, and new productivity or cost-saving initiatives

Fulltime

Senior Data Scientist - Applied AI

Working at Uber means solving hard problems in a high-stakes, fast-moving enviro...

Location

Brazil , Sao Paulo

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

5+ years of experience (or Ph.D. equivalent) in an Applied Science, Machine Learning, or Data Science role
Specialized domain expertise in Ranking, Recommender Systems (RecSys), or Search
Proven experience in training and deploying Deep Learning models at scale within a production environment
Proficiency in Python and SQL with experience handling large-scale datasets using Spark, Hive, or PySpark
Solid understanding of statistical methods, experimental design, and A/B testing
BSc., M.S., or Ph.D. in Computer Science, Machine Learning, Statistics, Economics, or a related quantitative field

Job Responsibility

Design and implement ML models and objective functions that unify competing business interests like organic relevance and sponsored content into a single value space
Act as the science lead for foundational machine learning initiatives, unblocking technical debt and optimizing feature engineering for high-scale, real-time systems
Navigate the ambiguity of user behavior by designing sophisticated experiments and causal inference frameworks that go beyond standard A/B testing
Collaborate across disciplines (Product, Engineering, and Data Science) to translate high-level business goals into theoretically sound and performant technical roadmaps
Research and apply advancements in Deep Learning, Reinforcement Learning, and GenAI to solve complex, high-impact problems without a clear starting point
Own your models end-to-end, from the first scientific hypothesis to debugging production issues in real-time, low-latency environments

Fulltime

Data Scientist

Barclays is seeking a highly skilled and experienced Data Scientist, AVP, to sup...

Location

United States , New York

Salary:

125000.00 - 175000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Coding in Python, PySpark, R, SQL or other scripting languages
Understanding of Machine learning and Math statistical modelling
Considerable academic background in a quantitative/empirical field (math, statistics, economics, computer science, physics, chemistry, etc)

Job Responsibility

Support advanced analytics, develop predictive models, and drive data-driven decision-making across the organization
Design, develop, and deploy machine learning and statistical models to solve highly detailed business problems
Perform exploratory data evaluation to identify patterns, trends, and insights and build predictive and prescriptive analytics solutions to optimize business outcomes
Evaluate model performance and continuously improve model accuracy and scalability
Mentor junior team members and partner with business stakeholders to translate data insights into actionable strategies

Fulltime

Senior Data Scientist - Agentic Systems

The Global Marketing Engines and Experiences (E&E) team within Microsoft is resp...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience

Job Responsibility

AI-Native Operations
Design, build, and ship agentic capabilities that make the analytics team more AI-native, including co-PM agents that triage incoming work, monitor data science workstreams in Azure DevOps, and propose ticket updates that keep our backlog accurate without manual hygiene effort
Build PM-layer agents that read across the Azure Dev Ops (ADO) portfolio to surface risk, estimate effort on new requests, and recommend project plans that managers can adapt rather than write from scratch
Establish shared infrastructure and patterns — prompting, evaluation, orchestration, observability, guardrails — that let the rest of the team build downstream agents reliably
Analyst Delivery Acceleration
Develop LLM-powered internal tools and skills that compress the cycle from analytics request to delivered insight, including capabilities that draft, format, and pressure-test the standard inputs analysts produce for MBR, MMR, and leadership review rhythms
Identify the highest-friction parts of the analyst delivery flow and design generative AI interventions that remove rather than relocate the work
Partner with the analytics team to instrument adoption, measure time saved, and iterate based on real usage rather than projected value
Marketer-Facing Capabilities
Lead the design and delivery of marketer-facing generative AI capabilities, anchored by a conversational analytics agent that allows marketers across Brand, Product Marketing Management (PMM), Customer Insights, and demand generation to self-serve on the analytics questions they bring to the team today

What we offer

Eligible for benefits and other compensation

Fulltime

Intern - Global Trade

Location

United Kingdom , Londres

Salary:

Not provided

Natixis CIB France

Expiration Date

Until further notice

Requirements

Excellent Attendance and punctuality
Superb attention to detail
Proactive approach, essential in a small team
Active participation in training sessions and team meetings
Quality of research and analysis
Ability to apply learned concepts to practical situations
Professionalism and strong communication skills

Job Responsibility

Assisting with marketing pitch preparation and research
Assisting with financial modelling and credit analysis in respect of finance transactions
Gathering and analysing financial data, reporting variances and initiating corrective actions
Liaison with Risk, Structuring desks, Legal, Compliance, MO, and BO operations
Assisting the team as assigned, to develop knowledge of clients and their needs
Assist the team in preparing GT Precom papers and other relevant committee meetings
Liaison with GT Paris and other platforms’ colleagues across EMEA, APAC and US
Liaison with Finance London and Finance GT Paris to keep track of booked NBI on a monthly basis
Maintaining awareness of all economic and financial data and any other important factors (e.g. fiscal changes) likely to affect the client base and products being marketed
Adhere to and understand risks to the bank and the client resulting from successful conclusion of transactions

Fulltime

Business Analysis Manager | Analysis and Incentive Strategy

This role sits within T-Mobile's Incentive Strategy team and drives the data mod...

Location

United States , Bellevue

Salary:

77900.00 - 140500.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
Acceptable areas of study include data science, statistics, mathematics, economics, finance, data analysis, or equivalent quantitative experience (Required)
4–7 years of experience solving complex analytical problems using quantitative and statistical approaches (Required)
4–7 years of hands-on experience with SQL analysis of large, complex datasets in enterprise environments (e.g., Snowflake, Databricks, MSSQL, Teradata, or similar) (Required)
4–7 years of experience building and presenting data visualizations and performance reporting using Tableau, Power BI, or equivalent tools (Required)
4–7 years of experience with financial modeling, forecasting, or scenario analysis (Required)
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Build and maintain analytical models to evaluate incentive plan design scenarios, quota structures, payout curves, and program ROI
Develop financial forecasts and accrual models to project incentive program costs and quantify business impact
Mine and analyze large, complex datasets using SQL to surface performance trends, behavioral patterns, and strategic insights
Design and maintain dashboards, self-service reporting tools, and data visualizations (Tableau, Power BI) that give stakeholders real-time visibility into program performance
Partner with Finance, HR, Sales, and Operations to translate business questions into analytical frameworks and deliver actionable recommendations to senior leadership
Conduct ad hoc quantitative research and scenario modeling to support executive decision-making
Contribute to the design and governance of data infrastructure, reporting standards, and analytical documentation for the team
Also responsible for other duties/projects as assigned by business management as needed

What we offer

Medical insurance
Dental insurance
Vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

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Economic Modeller

Job Description

Job Responsibility

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