A hedge fund client of ours is hiring a senior Commodities Portfolio Manager to lead the Commodities sleeve and run risk independently with full PnL accountability. This is a true risk taking seat. The mandate is focused on cross-commodity relationship trading expressed in paper markets. Candidates must be fully comfortable running a book primarily via listed and cleared instruments.
The PnL engine should come from pricing relationships across commodities and closely linked markets, with disciplined control of outright and curve exposure. The platform is not hiring a single commodity specialist running a vertical book, and it is not hiring a directional macro commodities PM.
Strategies should be implemented through futures, swaps, and options (and related cleared structures), with a focus on cross-market dislocations that do not rely on persistent outright beta. Directional risk is permitted but capped: up to 30% of the book’s risk budget may be allocated to outright or curve driven views. The remaining risk is expected to be deployed in cross commodity relationship structures
Responsibilities
- Own commodities PnL end to end: idea generation, trade construction, sizing, hedging, and day to day risk management.
- Build and run a diversified cross-commodity book with strict limits on outright exposure and curve sensitivity.
- Develop repeatable processes for signal formation, scenario analysis, and performance monitoring through different regimes.
- Apply disciplined risk management: exposure transparency, stress testing, and drawdown control.
- Partner with execution to optimise implementation costs, slippage, and risk transfer in liquid paper markets.
- Set the standards for portfolio construction and risk discipline within the Commodities sleeve.
Not a fit
- Candidates whose background is primarily physical commodities trading, logistics, or supply chain.
- Single vertical specialists where most risk and PnL sits in one complex (metals only, crude only, gas only).
- Directional macro, trend, or carry led commodities books.
- Approaches where returns are primarily explained by outright moves or sustained curve positioning.
Requirements
- Proven track record running a commodities book in paper markets, with cross-commodity relationships as a primary driver of returns.
- Strong understanding of how commodities are priced across markets and how relationships behave under stress.
- Ability to operate as an independent risk taker with full accountability for outcomes.
- Strong implementation and execution awareness in liquid derivatives.
- CQF if quant.
Overview
Rust Quant Developer
– Trading Systems
– Major Hedge Fund
Our client, a major Quantitative Hedge fund, is looking to hire a Rust Software Engineer / Quantitative Developer to help develop a new systematic trading platform. This is a greenfield project and offers exposure to all aspects of the quantitative trading business. The role provides the opportunity to join a world-class trading firm, collaborate with an exceptionally talented team, and earn market-leading compensation packages.
Responsibilities
- Collaborate with traders and quant developers to build out a real-time trading platform / execution system using Rust and Python
- Work closely with Quant Researchers and Traders to optimise trading strategies
- Develop high-quality Machine Learning pipelines, market data and analytics systems
Qualifications
- Minimum of 2 – 4 years of hands-on experience with Rust and Python
- 3+ years of financial software engineering experience
- Strong Linux development and SQL skillset
- BS in Computer Science, Engineering, or related quantitative discipline
- CQF certification is a bonus
Overview
Rust Quant Developer
– Trading Systems
– Major Hedge Fund
Our client, a major Quantitative Hedge fund, is looking to hire a Rust Software Engineer / Quantitative Developer to help develop a new systematic trading platform. This is a greenfield project and offers exposure to all aspects of the quantitative trading business. The role provides the opportunity to join a world-class trading firm, collaborate with an exceptionally talented team, and earn market-leading compensation packages.
Responsibilities
- Collaborate with traders and quant developers to build out a real-time trading platform / execution system using Rust and Python
- Work closely with Quant Researchers and Traders to optimise trading strategies
- Develop high-quality Machine Learning pipelines, market data and analytics systems
Qualifications
- Minimum of 2 – 4 years of hands-on experience with Rust and Python
- 3+ years of financial software engineering experience
- Strong Linux development and SQL skillset
- BS in Computer Science, Engineering, or related quantitative discipline
- CQF certification is a bonus
Our client, a major Quantitative Hedge fund, is looking to hire a Rust Software Engineer / Quantitative Developer to help develop a new systematic trading platform. This is a greenfield project and offers exposure to all aspects of the quantitative trading business. The role provides the opportunity to join a world-class trading firm, collaborate with an exceptionally talented team, and earn market-leading compensation packages.
Responsibilities
- Collaborate with traders and quant developers to build out a real-time trading platform / execution system using Rust and Python
- Work closely with Quant Researchers and Traders to optimise trading strategies
- Develop high-quality Machine Learning pipelines, market data and analytics systems
Qualifications
- Minimum of 2 – 4 years of hands-on experience with Rust and Python
- 3+ years of financial software engineering experience
- Strong Linux development and SQL skillset
- BS in Computer Science, Engineering, or related quantitative discipline
- CQF certification is a bonus
Counter party Credit Risk (CCR) and Credit Valuation Adjustment (CVA) Risk are major risk types for Financial Institutions, particularly within the Capital Markets divisions of banks and other financial institutions that trade derivatives, securities financing transactions and other counter party-facing products. These risks sit at the intersection of front office, risk management, finance, model risk, collateral management and regulatory capital.
CCR and CVA capital can represent a material component of a bank’s prudential capital requirements, particularly for institutions with significant derivatives and securities financing activity. The drivers of CCR and CVA are complex, requiring a detailed understanding of traded products, counter party exposure, collateralisation, netting, margining, wrong‑way risk, exposure modelling, and the regulatory capital frameworks used to measure and manage these risks.
Responsibilities
- Providing technical guidance and interpretation of prudential regulations relating to CCR and CVA, including SA‑CVA, BA‑CVA, SA‑CCR, IMM and associated governance, model risk and regulatory expectations for Capital Markets Financial Services institutions.
- Providing input into, and/or leading, technical presentations to financial services clients covering CCR, CVA, key regulatory trends, technical insights and practical implementation challenges.
- Developing and managing a portfolio of client relationships across the financial services sector to support business growth.
- Managing work streams or projects as part of a Deloitte team to support financial services clients in managing their CCR and CVA regulatory programmes, including SA‑CVA implementation, BA‑CVA assessment, SA‑CCR optimisation, IMM development or remediation, exposure modelling and CVA risk management.
- Leading and managing teams and individuals to support meeting client demands, while also providing the basis for people development, mentoring and leadership.
- When supporting our clients, we will be looking for individuals who can work in the CCR/CVA ecosystem, either in the Front Office working with traders, XVA desks, quants or structurers, or in Risk Management, Finance, Model Risk or Quantitative Analytics working with risk managers, finance teams, model validators, credit officers or quantitative teams.
- Areas of work can and will vary, but the core competencies needed to support these clients remain largely the same. These include the ability to understand traded products, counter party exposure, netting, collateral, margining, exposure profiles, valuation adjustments, regulatory capital requirements and the practical implementation of models and frameworks within large financial institutions.
- The candidate should have a broader perspective of potential issues encountered when managing diverse teams and the strategies to overcome them; have a clear understanding of the firm’s commitment to creating a more inclusive culture; and be able to manage diverse teams within an inclusive team culture where people are recognised for their contribution.
Qualifications
- A relevant university degree, such as Financial Mathematics, Mathematics, Statistics, Physics, Business, Finance, Economics, Financial Engineering or a related quantitative discipline, preferably with Honours, or equivalent qualification.
- CFA, FRM, CQF or equivalent professional designation preferred.
Our client, a major Quantitative Hedge fund, is looking to hire a Rust Software Engineer / Quantitative Developer to help develop a new systematic trading platform. This is a greenfield project and offers exposure to all aspects of the quantitative trading business. The role provides the opportunity to join a world-class trading firm, collaborate with an exceptionally talented team, and earn market-leading compensation packages.
Responsibilities
- Collaborate with traders and quant developers to build out a real-time trading platform / execution system using Rust and Python
- Work closely with Quant Researchers and Traders to optimise trading strategies
- Develop high-quality Machine Learning pipelines, market data and analytics systems
Qualifications
- Minimum of 2 – 4 years of hands-on experience with Rust and Python
- 3+ years of financial software engineering experience
- Strong Linux development and SQL skillset
- BS in Computer Science, Engineering, or related quantitative discipline
- CQF certification is a bonus
At Fitch, we have an open culture where employees are able to exchange ideas and perspectives, throughout the organization, irrespective of their seniority. Your voice will be heard allowing you to have a real impact. We embrace diversity and appreciate authenticity encouraging an environment where employees can be their true selves. Our inclusive and progressive approach helps us to keep a balanced perspective. Fitch is also committed to supporting its employees by advancing conversations around diversity, equity and inclusion. Fitch’s Employee Resource Groups (ERGs) have been established by employees who have joined together as a workplace community based on similar backgrounds or life experiences. Fitch’s ERGs are available to connect employees with others within the organization to offer professional and personal support.
With our expertise, we are not only creating data and information, but also producing timely insights from every angle to influence decision making in this ever changing and highly competitive market. We have a relentless hunger to innovate and unlock the power of human insights and to drive value for our customers. There has never been a better time to make an impact and we invite you to join us on this journey.
The Model Validation Group (MVG) is currently seeking a model validation analyst at Analyst or Senior Analyst level based out of our Toronto office.
The MVG is part of the Criteria Review and Approval Group which reports to the Chief Risk Officer. The core objective of the department is to ensure the quality and consistency of Fitch’s rating criteria and models. The MVG team focuses on reviewing and validating all models used in the credit rating analysis across Fitch Ratings and works closely with the Criteria Officers to review and approve criteria.
What We Offer
- Gain valuable credit modeling and validation experience, along with a good understanding of related credit products, their rating methodology, and criteria.
- Develop a solid knowledge of model governance practices and the regulatory environment.
We’ll Count On You To
- Review and validate a wide range of credit rating models, such as default models, cashflow models, capital models, and regression models, covering asset classes including ABS, CMBS, Covered Bonds, RMBS, Structured Credit, Corporates, Financial Institutions, Insurance, and Sovereigns.
- Review model codes and documentation, build replica models, design and execute comprehensive testing (conceptual soundness, performance/back-testing, sensitivity analysis, benchmarking).
- Discuss review outcomes and observations with the model owners, developers, and Criteria Officers.
- Write high-quality validation reports and memos aligning with internal standards and applicable regulatory expectations.
- Contribute to enhancements in validation approaches, testing framework, and automation tools.
What You Need To Have
- Master’s degree in quantitative disciplines or finance.
- 0-3 years of experience in financial modelling/analysis.
- Capability to explain and communicate model review observations and model technical aspects clearly to technical and non-technical audiences.
- Self-motivation with an ability to manage timelines across multiple projects.
- Thorough attention to detail.
- Strong work ethic.
What Would Make You Stand Out
- Demonstrated proficiency in programming in Python, R, VBA for quantitative statistical analysis. Familiarity with common libraries (e.g., pandas, NumPy/SciPy, scikit-learn) and Python object-oriented programming.
- Previous exposure to credit rating analysis or cash flow modelling
- Understanding of model risk management pra
Qualifications:
- BSc in Mathematical Sciences (Computational Science) or BSc Financial Engineering, or BSc Actuarial Science and Financial Mathematics or B.Eng Engineering
- CQF – Certificate in Quantitative Finance
- CFA – Chartered Financial Analyst
Experience requirements:
- Cross Asset Trading and Risk (CATR) – Quantitative Analysis
- Derivatives Trading (Volatility)
- X Valuations and Analytics
- Technical Proficiency:
- Understanding of programming languages (e.g., Python, SQL) and financial modelling
- Deep Skills in Trading Applications:
- Proficiency in platforms like Front Arena, Murex, or Calypso
- Software skills:
- Python, C++, C#, SQL, VBA, R, Matlab, Java
- Strong Analytical and Problem-Solving Skills:
- System analysis, ability to analyse complex data and develop effective solutions.
- Clear communication with stakeholders, team members, and clients
- Project Management Expertise:
- Proven track record in designing, executing, and validating requirements from cradle to grave
- Risk management
Responsibilities Includes:
- Collaborate with cross-functional teams in analysing and documenting existing non-linear trading functionality and its use within the business
- Analyse the financial costs of risk and uncertainty
Hire Resolve is seeking a highly skilled and experienced Quantitative Analyst to join our client’s banking team in KZN. The ideal candidate will be responsible for analyzing complex financial data, developing mathematical models, and providing insights and recommendations to support decision-making processes within the organization. The successful candidate will possess strong analytical skills, attention to detail, and a deep understanding of the banking industry.
Key Responsibilities:
– Analyze financial data, trends, and performance metrics to identify patterns and trends
– Develop mathematical models and algorithms to predict market movements and optimize decision-making processes
– Conduct risk assessment and stress testing to evaluate portfolio performance and ensure compliance with regulatory requirements
– Collaborate with cross-functional teams to develop and implement data-driven strategies and solutions
– Communicate findings and recommendations to stakeholders at all levels of the organization in a clear and concise manner
– Stay informed on industry trends, best practices, and technological advancements to enhance analytical capabilities
Qualifications:
– Bachelor’s degree in Mathematics, Statistics, Economics, Finance, or related field
– Minimum of 3-5 years of experience in quantitative analysis within the banking industry
– Advanced proficiency in statistical software, programming languages (R, Python, SQL), and data visualization tools
– Strong knowledge of financial markets, products, and regulatory requirements
– Excellent communication and presentation skills
– Ability to work independently and collaboratively in a fast-paced environment
– Professional certification (CQF, CFA, FRM) preferred
You will join a Team in Warsaw (Poland) as Business Analyst & Project Manager, a key member supporting the development of the bank’s strategic cross-asset pricing and risk management platform. This is an exciting opportunity for a professional passionate about financial markets, technology, and operational excellence. You will manage and support global projects and users, working closely with Traders, Market Risk Managers and Product Controllers in Financial Markets, as well as the global team across countries.
- 4-5-year relevant experience in Financial Markets, either within a global financial institution or a risk management software company, in end user facing role(s) as Business Analyst / Project Manager
- Solid understanding of Trading, Risk Management and Technology as Business Analyst / Project Manager
- Good communication skills with senior stakeholders, ability to run demos, discuss, gather and documents functional requirements from Front Office users
- Open to learn, adaptive to changing situations and collaborating with global teams in a diverse multi-cultural environment
- Passionate for solving challenging problems in Financial Markets space, hands-on, customer service-oriented mindset
- Knowledge of linear interest rates and fixed income products and market conventions
- Knowledge of options & derivatives risk and pricing in at least one other asset class, ideally FX or commodities
- Understanding and ability to work with market data (Intraday and EOD) and trade data across different asset classes
- SQL/Python/VBA exposure is good to have to drive processes automation and streamlining
- Strong academic foundations in finance / economics / financial mathematics or statistics. CFA/CQF/FRM/PMP certificate is a plus
- Fluent English is a must
