1,074 Valuation Expert jobs in the United Kingdom
Quantitative Analyst, Financial Modeling
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and test sophisticated quantitative models for financial markets.
- Conduct rigorous statistical analysis and data mining on large financial datasets.
- Design and build algorithms for pricing, risk management, and algorithmic trading.
- Collaborate with business stakeholders to understand requirements and develop tailored solutions.
- Validate model assumptions and performance against market data.
- Document models, methodologies, and research findings comprehensively.
- Stay current with academic research and industry best practices in quantitative finance.
- Optimize model performance and efficiency.
- Contribute to the development of the firm's quantitative infrastructure.
- Present findings and model outputs to senior management and relevant teams.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Demonstrable experience in quantitative modeling within the financial industry.
- Strong programming skills in Python, C++, R, or similar languages.
- Proficiency with data analysis, statistical modeling, and machine learning techniques.
- In-depth knowledge of financial markets, derivatives, and risk management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts.
- Ability to work independently and manage projects effectively in a remote environment.
PSG Financial Modeling & Valuation Manager
Posted today
Job Viewed
Job Description
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
The Partner Services Group (PSG) is a global, high-impact team within BCG’s Finance function that is responsible for the design, development, and execution of world-class evaluation, development, compensation, and equity programs for our ~2,000 Managing Directors and Partners (MDPs). These programs are not only critical to BCG’s business performance but are also personally significant to our senior leadership.
MDPs are the owners of BCG and are entrusted with driving our business across markets and practice areas. Robust and transparent evaluation and reward mechanisms are essential to supporting BCG’s mission of unlocking the potential of those who advance the world.
Operating in a fast-paced environment, PSG is known for its precision, innovation, and transparent communication. We are a highly visible and trusted team that plays a vital role in ensuring BCG continues to be an employer of choice for the world’s most talented and pioneering leaders in consulting.
What You'll Do
As custodians of the global MDP framework, PSG ensures that:
* MDPs understand and are inspired by the broader value proposition, beyond compensation and equity
* There is strong trust and confidence in the Compensation & Equity (C&E) framework and its outcomes
* MDP behavior is positively influenced through a clear understanding of how the framework reflects their contributions, decisions, and impact
We’re looking for a strategic and solution-oriented senior Financial Analyst to help reimagine how we reward, retain and incentivize our MDPs with regard to their long-term capital vehicle (LTCV). The LTCV is BCG’s working capital and having an understanding of capital structures (debt, equity) is valuable. This role will report into the Head of Program Analysis (Roberto Sestito, PSG Director).
In this role, you will develop a deep understanding of the current MDP C&E framework and specifically LTCV and the programs that exist today. You will drive the financial modeling and scenario analysis needed to transition from legacy approaches to a more harmonized model – within the context of a privately held global consulting firm. Success in this role requires the ability to understand archetypes, apply logical frameworks and optimize models to achieve desired outcomes. You will also learn about BCG’s overall business, P&L, strategic priorities, and other elements related to firm performance. You will work closely with senior leaders to design
for the future and engage in implementation and change management planning to bring transformation to life.
As an example, this individual will take on responsibilities such as:
* Collect and clean raw data from various sources (e.g. databases, spreadsheets, etc.), ensuring accuracy, consistency and completeness
* Design, build and iterate on models that test the different impacts to individuals, archetypes and geographies
* Evaluate trade-offs between current reward models and forward-looking incentive designs (e.g., value-based, milestone-driven)
* Lead analysis, synthesis, financial modeling, sensitivity testing and ‘what if’ scenario analysis, and preparation of materials to communicate findings and make recommendations to PSG leadership, the BCG Executive Committee, and other sub-groups (‘steerco discussions’)
* Present and explain insights in a clear, engaging manner to both technical and non-technical audiences using slides and dashboards
* Team with the Head of Program Analysis and other senior leaders to manage different workstreams to implement changes and help infuse into our global policies, process, and norms
You’re Good At
You are…
* Detail-oriented, rigorous about accuracy, challenging outcomes of work and tests broader understanding of how you got there
* Proactive self-starter with strong critical thinking skills and creativity to solve problems
* Able to handle ambiguity; break down a problem, run independently with an idea and suggest solutions
* Analytically curious and a thoughtful interpreter of data and patterns
* Confident asking probing questions, conducting thoughtful investigation, making informed recommendations, and explaining the logic used to others
* Comfortable with senior presence, and composure while working on high visibility deliverables
* Skilled at working in globally distributed teams, including with a line manager in a different geography, and effective at managing collaboration across time zones.
* Willing to proactively jump in to help others, in a growing and fast-paced environment
* Able to build and develop strong, trusted working relationships
* Flexible, open to new ideas/change, and work collaboratively in an iterative environment
* Strong at written and verbal communication, with the ability to tailor messaging to diverse audiences
What You'll Bring
We are looking for a well-rounded individual who is comfortable navigating sensitive topics with leaders and can work collaboratively to influence leadership and implement change.
You bring…
* 5+ years of Financial Analysis experience (finance, FP&A, compensation strategy or internal consulting)
* Bachelor’s degree in a relevant field such as Business, Economics, Finance, or another quantitative discipline; MBA or other advanced degree strongly preferred
* Skilled in Microsoft Office applications – Outlook, Word, Excel, PowerPoint
* Advanced Excel skills; pivot tables, nested functions, mixed references, arrays, etc.
* Experience in Power BI, Tableau and Python
* Excellent organizational, project-management, communication, and interpersonal skills; ability to communicate confidently and professionally with senior management
* Flexible and adaptable to rapidly changing priorities and ability to stay focused
* Ability to work independently on multiple, simultaneous assignments with minimal supervision
* High level of confidentiality and discretion in handling sensitive data
Who You'll Work With
You will work directly with Roberto Sestito, Mike Nowicki, Katie Caccese and Laura McDonnell, and be part of the broader PSG team, led by Amy Glass and Ben Holden. You will also work very closely with BCG’s Compensation & Equity subcommittee, a Task Force Working Group of ~10-15 MDPs, and a broader network of MDP change advocates.
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
BCG is an E - Verify Employer. (Click here )( for more information on E-Verify.
Senior Quantitative Analyst - Financial Modeling
Posted today
Job Viewed
Job Description
Responsibilities:
- Develop and implement sophisticated pricing and risk management models for financial derivatives and other complex instruments.
- Design and build algorithmic trading strategies and systems.
- Conduct quantitative research on market behavior and financial phenomena.
- Validate and back-test quantitative models using historical and real-time data.
- Collaborate with front-office teams (traders, portfolio managers) to understand their quantitative needs.
- Write high-quality, efficient, and well-documented code in languages such as Python, C++, or R.
- Analyze large datasets to extract insights and identify trading opportunities or risk exposures.
- Contribute to the development and maintenance of the firm's quantitative infrastructure.
- Stay abreast of the latest research and trends in quantitative finance and computational methods.
- Communicate complex quantitative concepts clearly to both technical and non-technical audiences.
- Ph.D. or Master's degree in a quantitative field such as Financial Engineering, Mathematics, Physics, Statistics, Computer Science, or a related discipline.
- 5+ years of experience as a Quantitative Analyst in investment banking, hedge funds, or asset management.
- Strong theoretical knowledge of stochastic calculus, probability, statistics, and financial econometrics.
- Expertise in programming languages commonly used in quantitative finance (e.g., Python, C++, R, Java).
- Proven experience in developing and implementing pricing models, risk models, or trading algorithms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts.
- Ability to work independently and as part of a collaborative remote team.
Senior Quantitative Analyst - Financial Modeling
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Develop, test, and implement sophisticated quantitative models for pricing financial derivatives, assessing market risk, and managing credit risk.
- Perform rigorous validation of existing models, ensuring accuracy, robustness, and compliance with regulatory standards (e.g., Basel III, IFRS 9).
- Collaborate with traders, risk managers, and front-office teams to understand their needs and provide data-driven insights and solutions.
- Contribute to the development of new financial products by providing quantitative support and pricing expertise.
- Analyze large datasets to identify trends, patterns, and potential risks within financial portfolios.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and computational finance techniques.
- Communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders.
- Develop and maintain high-quality code in languages such as Python, C++, or R for model implementation and analysis.
- Mentor junior analysts and contribute to the team's technical expertise and knowledge sharing.
Senior Data Scientist (Financial Modeling)
Posted today
Job Viewed
Job Description
Responsibilities:
- Develop, validate, and deploy advanced quantitative and financial models.
- Analyze large, complex datasets to identify trends, patterns, and anomalies.
- Apply machine learning and statistical techniques to solve business problems in finance.
- Collaborate with finance and business teams to define analytical requirements.
- Communicate complex findings and recommendations to stakeholders through reports and presentations.
- Ensure the accuracy, robustness, and scalability of deployed models.
- Stay abreast of the latest advancements in data science, machine learning, and financial modeling.
- Mentor junior data scientists and contribute to knowledge sharing within the team.
- Implement best practices for data management, model versioning, and deployment.
- Contribute to the strategic direction of data science initiatives.
- Master's or PhD in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Finance.
- Minimum of 6 years of experience in data science, with a focus on financial modeling.
- Proven expertise in developing and implementing predictive models using Python or R.
- Strong knowledge of machine learning algorithms and statistical modeling techniques.
- Experience with financial data sources and markets.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent communication, presentation, and interpersonal skills for remote collaboration.
- Demonstrated ability to work independently and manage multiple projects simultaneously.
- Experience with data visualization tools (e.g., Tableau, Power BI).
Senior Quantitative Analyst - Financial Modeling
Posted 8 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop, implement, and maintain sophisticated mathematical models for pricing and risk management of financial instruments.
- Design and validate algorithms for trading strategies, portfolio optimization, and risk exposure calculations.
- Analyze large and complex datasets to identify market trends and opportunities.
- Collaborate with trading desks, portfolio managers, and risk management teams to provide quantitative insights.
- Conduct rigorous back-testing and stress-testing of models and strategies.
- Research and apply advanced statistical techniques and numerical methods to financial problems.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical audiences.
- Contribute to the development of new financial products and services.
- Ensure compliance with regulatory requirements and internal risk policies.
- Stay abreast of the latest developments in quantitative finance and financial technology.
- MSc or PhD in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or a related quantitative discipline.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Proven expertise in programming languages such as Python, C++, R, or Java.
- Strong knowledge of stochastic calculus, time series analysis, econometrics, and numerical methods.
- Experience with derivative pricing models, risk management frameworks, and portfolio optimization techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication abilities.
- Ability to work effectively in a fast-paced, team-oriented environment.
Senior Quantitative Analyst - Financial Modeling
Posted 11 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement sophisticated quantitative models for financial markets, including pricing, hedging, and risk management.
- Perform complex data analysis using statistical and machine learning techniques.
- Develop and maintain algorithms for trading strategies, portfolio optimisation, and risk assessment.
- Validate existing models and provide insights into their performance and limitations.
- Collaborate with traders, portfolio managers, and risk managers to understand their quantitative needs and provide solutions.
- Stay abreast of the latest developments in quantitative finance, econometrics, and computational methods.
- Translate complex mathematical concepts into clear, actionable insights for business stakeholders.
- Develop efficient and robust code in languages such as Python, R, C++, or Java.
- Conduct back-testing and simulation studies to evaluate model performance.
- Contribute to the development and enhancement of the firm's quantitative infrastructure.
- Author technical documentation and present findings to both technical and non-technical audiences.
- Ensure models comply with regulatory requirements and internal risk policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Identify opportunities for innovation and improvement in quantitative methodologies.
- Work effectively in a distributed, remote team environment.
Qualifications:
- PhD or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience as a Quantitative Analyst or in a similar role within the financial services industry.
- Proven expertise in developing and implementing financial models for pricing, risk, or trading.
- Strong programming skills in at least one of Python, R, C++, or Java, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy, TensorFlow).
- Deep understanding of stochastic calculus, time series analysis, econometrics, and machine learning.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills, with the ability to articulate complex quantitative concepts.
- Experience with large datasets and distributed computing environments is a plus.
- Ability to work independently and collaboratively in a remote setting.
Be The First To Know
About the latest Valuation expert Jobs in United Kingdom !
Lead Data Scientist - Financial Modeling
Posted 12 days ago
Job Viewed
Job Description
As the Lead Data Scientist, you will guide a team of talented data scientists, fostering an environment of collaboration and technical excellence. Your responsibilities will encompass the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and deployment. A deep understanding of machine learning algorithms, statistical modeling, and time-series analysis is crucial. Experience with financial markets, quantitative finance, and regulatory compliance is highly advantageous. You will leverage your expertise in Python or R, along with libraries like TensorFlow, PyTorch, scikit-learn, and Pandas, to build robust and scalable solutions. Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop) are also essential for handling large financial datasets.
We expect candidates to possess a Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Physics. A minimum of 6 years of relevant industry experience, with a proven track record in financial modeling and a leadership capacity, is required. Excellent communication and presentation skills are vital for conveying complex findings to both technical and non-technical stakeholders. You will be instrumental in shaping our data-driven strategy, providing actionable insights that enhance financial performance and operational efficiency. This is a unique chance to make a substantial impact in a globally recognized financial organization, working remotely.
Senior Data Scientist - Financial Modeling
Posted 14 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop, validate, and deploy sophisticated predictive models for areas such as credit risk, market risk, fraud detection, and customer behavior analysis.
- Clean, transform, and analyze large, complex datasets from various sources using statistical and machine learning techniques.
- Collaborate closely with business stakeholders, data engineers, and other data scientists to understand requirements and deliver actionable insights.
- Design and implement A/B tests and other experimental methodologies to evaluate model performance and business impact.
- Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.
- Build robust data pipelines and automated reporting systems to support ongoing model monitoring and performance tracking.
- Communicate complex findings and model methodologies clearly and concisely to both technical and non-technical audiences.
- Mentor junior data scientists and contribute to the growth and development of the data science team.
- Ensure compliance with all relevant regulations and data privacy standards.
- Contribute to the strategic roadmap for data science initiatives within the organization.
- Document all modeling processes, assumptions, and results thoroughly.
- Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Minimum of 5 years of experience as a Data Scientist, with a significant focus on financial modeling and analysis.
- Proven expertise in developing and deploying machine learning models (e.g., regression, classification, time-series forecasting, clustering).
- Proficiency in programming languages such as Python or R, and strong experience with relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
- Solid understanding of statistical concepts and methods.
- Experience with SQL and working with relational databases; experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Familiarity with financial industry regulations and data governance principles.
- Ability to work independently and effectively manage projects in a remote setting.
- Demonstrated ability to translate business problems into data science solutions.
Senior Quantitative Analyst - Financial Modeling
Posted 14 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for pricing, risk management, and hedging of financial derivatives.
- Conduct in-depth statistical analysis and data mining to identify trends and patterns in financial markets.
- Validate model performance, assess limitations, and perform back-testing to ensure accuracy and robustness.
- Collaborate with trading desks, risk management, and IT departments to understand business requirements and translate them into quantitative solutions.
- Develop and maintain efficient and well-documented code in languages such as Python, C++, or R.
- Contribute to the design and development of new financial products and strategies.
- Stay abreast of regulatory changes and industry best practices in quantitative finance.
- Prepare clear and concise reports and presentations on model methodologies, assumptions, and results for senior management and regulators.
- Mentor junior quantitative analysts and contribute to the team's technical expertise.
- Ensure compliance with internal policies and external regulations.
- Troubleshoot and resolve issues related to model implementation and performance.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Financial Engineering, or Computer Science.
- 5+ years of progressive experience in quantitative analysis within the financial services industry.
- Strong theoretical knowledge and practical experience in financial modeling, including derivative pricing, risk modeling (VaR, CVA), and statistical methods.
- Proficiency in at least one programming language commonly used in quantitative finance (e.g., Python with libraries like NumPy, SciPy, Pandas; C++; R).
- Experience with data analysis and visualization tools.
- Familiarity with financial markets, instruments, and trading strategies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Experience with machine learning techniques applied to finance is a plus.
- Knowledge of regulatory frameworks such as Basel III or Solvency II is advantageous.
This hybrid role is based in our client's offices in Newcastle upon Tyne, Tyne and Wear, UK .