191 Investment Strategies jobs in the United Kingdom
Senior Quantitative Analyst - Investment Strategies
RG1 1LX Reading, South East
£90000 Annually
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Job Description
Our client, a prestigious global investment bank, is seeking a highly analytical and skilled Senior Quantitative Analyst to join their dynamic Asset Management division in Reading, Berkshire, UK . This role is central to developing, implementing, and refining sophisticated quantitative models and investment strategies across various asset classes. The ideal candidate will possess a deep understanding of financial markets, advanced statistical modeling techniques, and proficiency in programming languages commonly used in quantitative finance. You will be working within a high-caliber team, contributing to the firm's competitive edge through rigorous research and innovative solutions.
Responsibilities:
Qualifications:
Responsibilities:
- Develop and implement quantitative models for portfolio construction, risk management, and trading strategy development.
- Conduct in-depth statistical analysis of market data to identify investment opportunities and potential risks.
- Utilize advanced econometric and machine learning techniques to build predictive models.
- Backtest and validate trading strategies and portfolio construction methodologies.
- Collaborate with portfolio managers and traders to translate research findings into actionable investment decisions.
- Perform sensitivity analysis and stress testing on investment models and portfolios.
- Ensure the accuracy, robustness, and compliance of quantitative models with regulatory requirements.
- Develop and maintain high-quality code in languages such as Python, R, C++, or MATLAB.
- Stay abreast of the latest academic research and industry trends in quantitative finance and asset management.
- Communicate complex quantitative concepts and findings effectively to both technical and non-technical audiences.
- Contribute to the ongoing enhancement of the firm's quantitative research platform and infrastructure.
- Mentor junior analysts and contribute to team knowledge sharing.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5-7 years of relevant experience in quantitative analysis, asset management, or a related financial services role.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Proficiency in programming languages such as Python (NumPy, SciPy, Pandas), R, or C++.
- Strong understanding of financial markets, derivatives, portfolio theory, and risk management.
- Experience with large datasets and database querying (SQL).
- Familiarity with financial data providers (e.g., Bloomberg, Refinitiv).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex ideas clearly.
- Ability to work effectively in a team environment and manage multiple priorities.
This advertiser has chosen not to accept applicants from your region.
0
Senior Quantitative Analyst - Investment Strategies
MK9 2FY Milton Keynes, South East
£80000 Annually
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Job Description
Our client, a prominent financial institution, is seeking a highly analytical Senior Quantitative Analyst to join their sophisticated trading team in **Milton Keynes, Buckinghamshire, UK**. This role is integral to the development and implementation of cutting-edge quantitative models and trading strategies that drive market performance. The ideal candidate will possess a deep understanding of financial markets, advanced statistical modeling techniques, and proficiency in programming languages commonly used in quantitative finance. You will work closely with portfolio managers and traders, translating complex market data into actionable investment insights and robust trading algorithms.
Key Responsibilities:
Key Responsibilities:
- Develop, backtest, and deploy sophisticated quantitative models for asset allocation, risk management, and alpha generation.
- Analyze large, complex datasets to identify market patterns, inefficiencies, and trading opportunities.
- Design and implement trading strategies across various asset classes.
- Collaborate with portfolio managers and traders to refine investment strategies and risk controls.
- Build and maintain high-frequency trading systems and data infrastructure.
- Monitor and evaluate the performance of trading strategies, making necessary adjustments.
- Conduct research into new quantitative methodologies and technologies.
- Ensure compliance with all relevant financial regulations and internal policies.
- Communicate complex quantitative concepts clearly and effectively to both technical and non-technical audiences.
- Contribute to the development and mentoring of junior quantitative analysts.
- MSc or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis within the financial services industry.
- Proven expertise in statistical modeling, time series analysis, and machine learning techniques.
- Strong programming skills in languages such as Python, C++, R, or Java.
- Experience with financial data vendors (e.g., Bloomberg, Refinitiv) and databases.
- Deep understanding of financial markets, derivatives, and portfolio theory.
- Excellent problem-solving abilities and attention to detail.
- Strong communication and interpersonal skills.
- Experience with large-scale data processing and cloud computing platforms is a plus.
- Demonstrated ability to work independently and as part of a collaborative team.
This advertiser has chosen not to accept applicants from your region.
1
Senior Quantitative Analyst - Investment Strategies
G1 1AB Glasgow, Scotland
£70000 Annually
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Posted 1 day ago
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Job Description
Our client is a leading global financial institution seeking an exceptional Senior Quantitative Analyst to join their remote-first team, based in Glasgow, Scotland, UK . This role is pivotal in developing and refining sophisticated quantitative models and trading strategies for various asset classes. You will be instrumental in driving data-driven decision-making, conducting in-depth statistical analysis, and building robust algorithmic solutions. The ideal candidate will possess a profound understanding of financial markets, advanced mathematical and statistical modelling skills, and a strong proficiency in programming languages commonly used in quantitative finance. You will collaborate with portfolio managers and traders, providing critical insights and supporting the continuous enhancement of investment performance. This is a fully remote position, offering flexibility and the opportunity to work with a highly talented, globally distributed team.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement quantitative trading strategies across various financial markets.
- Conduct rigorous statistical analysis of market data to identify patterns and opportunities.
- Build and maintain complex mathematical models for risk management, pricing, and portfolio optimisation.
- Develop and test algorithmic trading systems.
- Collaborate with traders and portfolio managers to translate research ideas into actionable trading strategies.
- Perform backtesting and performance attribution analysis.
- Contribute to the development of the firm's quantitative research infrastructure and tools.
- Stay abreast of academic research and industry trends in quantitative finance.
- Document methodologies, research findings, and model specifications clearly and concisely.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Advanced degree (MSc or PhD) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Proven experience (5+ years) in quantitative analysis or a similar role within the financial services industry.
- Strong programming skills in languages such as Python, C++, or R, with experience in relevant libraries (e.g., NumPy, SciPy, pandas).
- Deep understanding of stochastic calculus, time series analysis, and statistical modelling techniques.
- Experience with financial modelling, derivatives pricing, and risk management.
- Familiarity with machine learning techniques applied to finance.
- Excellent problem-solving and analytical abilities.
- Strong communication skills to effectively explain complex concepts to both technical and non-technical audiences.
- Ability to work independently and as part of a remote team.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst - Investment Strategies
LS1 4DL Leeds, Yorkshire and the Humber
£80000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a prestigious investment management firm, is seeking an exceptionally skilled Senior Quantitative Analyst to join their advanced analytics team. This is a fully remote, permanent position, offering unparalleled flexibility to work from anywhere within the UK. You will be at the forefront of developing and implementing sophisticated quantitative models and strategies for our global investment portfolios. This role demands a rigorous academic background, exceptional analytical prowess, and extensive experience in financial markets. You will work on complex projects, including portfolio construction, risk management, algorithmic trading, and asset allocation. The ideal candidate will possess a deep understanding of statistical modelling, econometrics, machine learning, and programming. You will collaborate closely with portfolio managers, traders, and other quantitative professionals to drive innovation and generate alpha. Key responsibilities include: Designing, developing, and backtesting quantitative investment strategies; Building and maintaining complex financial models for risk assessment and portfolio optimisation; Applying machine learning techniques to identify market patterns and predict asset price movements; Conducting rigorous statistical analysis of large datasets; Developing and implementing trading algorithms; Communicating complex quantitative concepts to both technical and non-technical audiences; Staying abreast of the latest research and developments in quantitative finance and data science. A PhD or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering is essential. Proven experience in quantitative finance, with a strong understanding of financial instruments and markets, is required. Proficiency in programming languages such as Python, R, or C++, and experience with databases and big data technologies are a must. Exceptional problem-solving abilities and a passion for innovation in financial markets are crucial. This is a high-impact role for a leading firm, offering significant professional growth and the ability to shape investment decisions from your remote location, with a tie to **Leeds, West Yorkshire, UK**.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst - Investment Strategies
LS1 1UR Leeds, Yorkshire and the Humber
£90000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a prestigious investment bank, is seeking a highly skilled Senior Quantitative Analyst to join their sophisticated trading strategies team in **Leeds, West Yorkshire, UK**. This role is integral to developing and implementing cutting-edge quantitative models and algorithms that drive investment decisions. The ideal candidate will possess a profound understanding of financial markets, advanced statistical modeling, and programming expertise. This is a challenging and rewarding opportunity to contribute to a highly successful financial institution.
Responsibilities:
Responsibilities:
- Develop, test, and implement quantitative trading strategies and models for various asset classes.
- Conduct in-depth research into market microstructure, trading behaviors, and statistical arbitrage opportunities.
- Analyze large datasets to identify patterns, predict market movements, and derive actionable investment insights.
- Build and maintain high-performance trading algorithms and backtesting platforms.
- Collaborate with portfolio managers and traders to translate investment ideas into quantitative frameworks.
- Monitor and refine existing models to adapt to changing market conditions and improve performance.
- Ensure the accuracy, efficiency, and robustness of all quantitative models and systems.
- Stay current with academic research and industry developments in quantitative finance.
- Contribute to the team's intellectual capital and share knowledge with colleagues.
- Communicate complex quantitative concepts effectively to both technical and non-technical audiences.
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- A minimum of 7 years of experience in quantitative analysis, ideally within investment banking, hedge funds, or asset management.
- Proven expertise in developing and implementing quantitative trading strategies.
- Strong proficiency in programming languages such as Python, C++, or R, with experience in data analysis libraries.
- Deep understanding of financial markets, derivatives, and statistical modeling techniques.
- Experience with large-scale data analysis and machine learning methodologies.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills.
- Ability to work effectively in a fast-paced, collaborative environment.
- Experience working within a hybrid office setting.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst - Investment Strategies
LE1 5AQ Leicester, East Midlands
£85000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their esteemed trading desk. This is a fully remote position, offering the unique opportunity to contribute to sophisticated investment strategies from anywhere within the UK. You will be instrumental in developing, testing, and implementing complex mathematical models and algorithms that drive trading decisions and portfolio management. The ideal candidate possesses a strong academic background in a quantitative field, extensive experience in financial modeling, and a deep understanding of statistical analysis and programming. This role demands rigorous analytical thinking, meticulous attention to detail, and the ability to translate complex financial concepts into actionable insights.
Responsibilities:
Responsibilities:
- Develop, validate, and implement sophisticated quantitative models for pricing, risk management, and trading strategies across various asset classes.
- Conduct in-depth statistical analysis of market data to identify trends, patterns, and investment opportunities.
- Design and execute backtesting strategies to evaluate the performance and robustness of trading algorithms and models.
- Collaborate with portfolio managers and traders to understand their needs and provide quantitative support for decision-making.
- Write efficient and well-documented code in languages such as Python, R, C++, or MATLAB for model implementation and data analysis.
- Monitor the performance of deployed models and algorithms, making adjustments as necessary to ensure optimal results.
- Stay abreast of academic research and industry developments in quantitative finance, econometrics, and machine learning.
- Contribute to the development of new trading ideas and risk management frameworks.
- Clearly communicate complex quantitative concepts and findings to both technical and non-technical audiences.
- Ensure compliance with internal policies, regulatory requirements, and ethical standards.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Assist in the development and maintenance of quantitative libraries and infrastructure.
- Master's or Ph.D. in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- A minimum of 5-7 years of experience in quantitative analysis, financial modeling, or a related role within the financial services industry.
- Proven expertise in statistical modeling, time-series analysis, stochastic calculus, and machine learning techniques.
- Proficiency in programming languages commonly used in quantitative finance (Python, R, C++, MATLAB).
- Strong understanding of financial markets, derivatives, and various asset classes.
- Experience with data manipulation and analysis tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal abilities, with the capacity to explain complex concepts clearly.
- Ability to work independently and manage multiple priorities effectively in a remote setting.
- Experience with high-frequency trading (HFT) or algorithmic trading is a significant advantage.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst - Investment Strategies
G1 1AA Glasgow, Scotland
£85000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a prestigious and forward-thinking investment firm, is seeking a highly analytical and skilled Senior Quantitative Analyst to join their remote-based trading and strategy development team. This fully remote position offers the opportunity to work from anywhere in the UK. You will be responsible for developing, implementing, and back-testing sophisticated quantitative trading strategies, performing in-depth market analysis, and contributing to the firm's alpha generation efforts. A strong foundation in mathematics, statistics, programming, and financial markets is essential.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and rigorously test quantitative trading strategies across various asset classes (equities, fixed income, derivatives, FX).
- Utilize statistical modeling, machine learning techniques, and econometrics to identify market inefficiencies and predict price movements.
- Perform extensive data analysis and research on large financial datasets to inform strategy development.
- Implement and optimize trading algorithms in production environments, ensuring high performance and reliability.
- Collaborate with portfolio managers and traders to understand their needs and translate them into quantitative solutions.
- Monitor the performance of live strategies, identify deviations, and implement necessary adjustments.
- Contribute to the firm's research into new data sources, analytical methods, and trading technologies.
- Develop and maintain code for strategy back-testing, execution, and risk management.
- Clearly communicate complex quantitative concepts and results to both technical and non-technical audiences.
- Stay current with academic research and industry trends in quantitative finance.
- Ensure compliance with all regulatory requirements and internal risk management policies.
- Mentor junior quantitative analysts and contribute to knowledge sharing within the team.
- Optimize computational efficiency of trading models and infrastructure.
- Conduct deep-dive analysis into market microstructure and transaction costs.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Economics, or a related discipline.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or related roles within the financial industry.
- Proficiency in programming languages commonly used in quantitative finance, such as Python (with libraries like NumPy, Pandas, Scikit-learn), C++, or R.
- Strong understanding of financial markets, asset classes, and derivatives.
- Experience with statistical modeling, machine learning, time-series analysis, and econometrics.
- Familiarity with large datasets and database technologies (SQL, NoSQL).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong verbal and written communication skills, with the ability to explain complex ideas clearly.
- Proven ability to work independently and manage multiple projects in a remote setting.
- Experience with high-frequency trading (HFT) or low-latency systems is a plus.
- Knowledge of risk management techniques for trading portfolios.
This advertiser has chosen not to accept applicants from your region.
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6
Lead Quantitative Analyst, Investment Strategies (Remote)
M1 1AN Manchester, North West
£100000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prestigious global investment firm, is seeking a highly skilled and experienced Lead Quantitative Analyst to join their pioneering investment strategies team. This is a fully remote position, offering the opportunity to shape and implement sophisticated quantitative investment models. You will lead a team of talented quants, driving research, development, and deployment of cutting-edge strategies across various asset classes. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative discipline, extensive experience in financial modeling, and a deep understanding of statistical analysis, machine learning, and programming.
Responsibilities:
Responsibilities:
- Lead the research, design, development, and implementation of quantitative investment strategies for equities, fixed income, and alternative assets.
- Manage and mentor a team of quantitative analysts, providing technical guidance and fostering a culture of innovation.
- Develop and refine sophisticated mathematical and statistical models to identify market opportunities and risks.
- Utilize advanced programming skills (Python, C++, R) to implement, test, and optimize trading algorithms and portfolio construction models.
- Conduct rigorous backtesting and performance analysis of strategies, ensuring robustness and statistical significance.
- Collaborate with portfolio managers and traders to integrate quantitative insights into investment decision-making processes.
- Stay abreast of the latest academic research, market trends, and technological advancements in quantitative finance.
- Ensure compliance with regulatory requirements and internal risk management policies.
- Develop and maintain high-quality documentation for all models, strategies, and processes.
- Contribute to the strategic direction of the quantitative research team and the firm's investment approach.
- Ph.D. or Master's degree in a highly quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Minimum of 8 years of relevant experience in quantitative research and development within the asset management industry.
- Proven track record of developing and deploying successful quantitative investment strategies.
- Expertise in statistical modeling, time series analysis, machine learning algorithms, and econometrics.
- Advanced programming proficiency in Python and/or C++, with strong experience in relevant libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn).
- Deep understanding of financial markets, asset classes, and trading mechanisms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex concepts clearly to diverse audiences.
- Experience with large datasets and database technologies (SQL).
- Ability to work independently and lead a remote team effectively.
This advertiser has chosen not to accept applicants from your region.
7
Senior Investment Analyst - Quantitative Strategies
SR2 7UN Sunderland, North East
£90000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
A leading financial institution is looking for a highly analytical Senior Investment Analyst with expertise in quantitative strategies to join their dynamic team in Sunderland, Tyne and Wear, UK . This role involves conducting in-depth market research, developing and implementing sophisticated financial models, and evaluating investment opportunities across various asset classes. You will be instrumental in identifying market trends, assessing risk, and contributing to the formulation of investment strategies that align with the firm's objectives. Key responsibilities include performing rigorous quantitative analysis, building predictive models for asset performance, and contributing to portfolio construction and optimisation. You will also be involved in producing detailed investment reports, presenting findings to senior management and investment committees, and collaborating with traders and portfolio managers to execute strategies. The ideal candidate will possess a Master's degree or PhD in Finance, Economics, Mathematics, Statistics, or a related quantitative field, with a proven track record in investment analysis, quantitative research, or portfolio management. Strong proficiency in programming languages such as Python, R, or MATLAB, and experience with financial databases (e.g., Bloomberg, Refinitiv) are essential. Excellent analytical, problem-solving, and critical-thinking skills are required, along with a deep understanding of financial markets, derivatives, and risk management. Professional designations such as CFA or FRM are highly desirable. You must possess excellent communication and presentation skills to effectively convey complex analytical insights to both technical and non-technical stakeholders. This hybrid role offers a blend of in-office collaboration and remote flexibility, providing a dynamic and intellectually stimulating work environment. You will be part of a high-performing team, contributing to significant investment decisions and shaping the firm's future success.
This advertiser has chosen not to accept applicants from your region.
8
Financial Analysis Manager
Daventry, East Midlands
Cummins Inc.
Posted 9 days ago
Job Viewed
Job Description
**DESCRIPTION**
We are looking for a talented Financial Analysis Manager to join our team specializing in Finance and Costing for Cummins in Daventry, Northamptonshire, United Kingdom.
**In this role, you will make an impact in the following ways:**
+ Lead the Costing and PFR team, setting clear goals and expectations for deliverables, ensuring alignment with business objectives.
+ Drive the Annual Operating Plan (AOP) submission and quarterly forecasts for key financial areas such as volumes, standard hours, managed expenses, purchase variances, inventory, variance analysis, and bridge preparation.
+ Conduct variance analysis for actuals vs. AOP/forecasts, including headcount, project expenses, wave savings, purchase variances, and inventory, providing financial insights and support to various stakeholders.
+ Oversee the annual standard cost-setting exercise, preparing detailed analyses of material cost and overhead changes to ensure accurate and well-supported standard cost updates.
+ Lead the Annual Physical Verification Exercise as the primary finance contact, managing planning, execution, and variance analysis to ensure high accuracy and compliance.
+ Support the financial closing process by ensuring accuracy in inventory valuation (including excess & obsolete stock), material cost reporting, and substantiation of high-quality balance sheet reconciliations.
+ Review and adjust tax forecasts, balance sheets, and cash flow hedge reports, ensuring alignment with changing financial forecasts and business strategies.
+ Coach and develop PFR & Inventory team members, fostering their professional growth, building technical capabilities, and creating a clear succession roadmap.
**RESPONSIBILITIES**
**To be successful in this role you will need the following:**
+ Strong collaboration skills - Builds partnerships and works effectively with stakeholders to align financial performance with business goals.
+ Effective communication - Delivers clear, tailored financial insights to different audiences, ensuring transparency and informed decision-making.
+ Results-driven leadership - Provides direction, delegates tasks, and removes obstacles to achieve financial targets and business objectives.
+ Analytical and problem-solving expertise - Interprets complex financial data, identifies trends, and evaluates risks and opportunities to drive business improvements.
+ Strategic financial planning - Utilizes forecasting, variance analysis, and performance metrics to guide decision-making and align with organizational strategies.
+ Process optimization and adaptability - Continuously improves financial reporting and operational processes while effectively managing ambiguity and complexity.
**QUALIFICATIONS**
**Education/ Experience:**
+ College, university, or equivalent degree in Finance, Accounting or related field required.
+ Certified Public Accountant, Certified Management Accountant, Chartered Accountant or similar certification required.
+ Experience using Oracle systems/tools would be beneficial.
+ Supervisory experience required.
**Job** Finance
**Organization** Cummins Inc.
**Role Category** Hybrid
**Job Type** Exempt - Experienced
**ReqID**
**Relocation Package** No
We are looking for a talented Financial Analysis Manager to join our team specializing in Finance and Costing for Cummins in Daventry, Northamptonshire, United Kingdom.
**In this role, you will make an impact in the following ways:**
+ Lead the Costing and PFR team, setting clear goals and expectations for deliverables, ensuring alignment with business objectives.
+ Drive the Annual Operating Plan (AOP) submission and quarterly forecasts for key financial areas such as volumes, standard hours, managed expenses, purchase variances, inventory, variance analysis, and bridge preparation.
+ Conduct variance analysis for actuals vs. AOP/forecasts, including headcount, project expenses, wave savings, purchase variances, and inventory, providing financial insights and support to various stakeholders.
+ Oversee the annual standard cost-setting exercise, preparing detailed analyses of material cost and overhead changes to ensure accurate and well-supported standard cost updates.
+ Lead the Annual Physical Verification Exercise as the primary finance contact, managing planning, execution, and variance analysis to ensure high accuracy and compliance.
+ Support the financial closing process by ensuring accuracy in inventory valuation (including excess & obsolete stock), material cost reporting, and substantiation of high-quality balance sheet reconciliations.
+ Review and adjust tax forecasts, balance sheets, and cash flow hedge reports, ensuring alignment with changing financial forecasts and business strategies.
+ Coach and develop PFR & Inventory team members, fostering their professional growth, building technical capabilities, and creating a clear succession roadmap.
**RESPONSIBILITIES**
**To be successful in this role you will need the following:**
+ Strong collaboration skills - Builds partnerships and works effectively with stakeholders to align financial performance with business goals.
+ Effective communication - Delivers clear, tailored financial insights to different audiences, ensuring transparency and informed decision-making.
+ Results-driven leadership - Provides direction, delegates tasks, and removes obstacles to achieve financial targets and business objectives.
+ Analytical and problem-solving expertise - Interprets complex financial data, identifies trends, and evaluates risks and opportunities to drive business improvements.
+ Strategic financial planning - Utilizes forecasting, variance analysis, and performance metrics to guide decision-making and align with organizational strategies.
+ Process optimization and adaptability - Continuously improves financial reporting and operational processes while effectively managing ambiguity and complexity.
**QUALIFICATIONS**
**Education/ Experience:**
+ College, university, or equivalent degree in Finance, Accounting or related field required.
+ Certified Public Accountant, Certified Management Accountant, Chartered Accountant or similar certification required.
+ Experience using Oracle systems/tools would be beneficial.
+ Supervisory experience required.
**Job** Finance
**Organization** Cummins Inc.
**Role Category** Hybrid
**Job Type** Exempt - Experienced
**ReqID**
**Relocation Package** No
This advertiser has chosen not to accept applicants from your region.
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