This is an analytical role with specific focus on macroeconomic and policy developments and their implications for the local interest rate market. Reports to the Head of Interest Rates. This position is based in Rondebosch, Cape Town.
Work Type: Onsite
Head of Market and External Managers Risk, P4
Under the overall supervision of the Chief, the incumbent will perform the following duties: 1) Contributing to Asset-Liability management within a pension fund context and strategic asset allocation exercises. 2) Providing independent oversight on tactical asset allocation and risk distribution across internal investment teams and external asset managers through a robust risk budgeting framework, without direct involvement in front office decision-making. 3) Analysis of risk for public market asset classes (fixed income, equities, currencies) 4) Create, prepare on a regular basis and analyze risk reports. 5) Monitor and identify risk, interpret reports and formulate risk reduction in accordance with OIM goals. 6) Perform risk-related due diligence and monitoring of external asset managers in public asset classes. 7) Model and integrate risk statistics by conducting research on macroeconomic factors and risk metrics reports to provide quantitative inputs on various investment proposals and existing portfolios of investments. 8) Conduct quantitative analysis of the Fund’s assets for the effectiveness and use of indexed tools and derivatives instruments for hedging equity, currency, duration, interest rate, and other risks. 9) Functional owner of the risk data management database and conduct independent risk calculations. 10) Develop and deliver an assessment of portfolio risks of both internally and externally managed investments. 11) Monitor market and external manager risks. 12) Represent the Fund at inter-agency meetings, seminars, etc., on substantive relative issues as instructed by Senior risk officer or the Chief, Risk and Compliance. Participate in international, regional or national meetings and provide programmatic/substantive expertise on Portfolio Risk Analysis and Attribution, or holds programmatic/substantive and organizational discussions with representatives of other institutions. 13) Collects and analyzes data to identify trends or patterns and provide insights through graphs, charts, tables and reports using data visualization methods to enable data-driven planning, decision-making, presentation and reporting. 14) Carries out other tasks as may be assigned by Senior risk officer or Chief Risk and Compliance Officer.
Senior Data Scientist (Data Science, Machine Learning, AI)
At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements.
Come join us in delivering better outcomes for our clients around the world!
Our Data Science team drives innovation in investment management by applying Data Science, ML and AI to optimize portfolio strategies and manage risk. We collaborate closely with portfolio managers, research analysts, and technology experts to deliver actionable insights. Joining us means working in a dynamic, intellectually stimulating environment where you’ll shape data-driven decisions and grow your expertise in both finance and cutting-edge technology.
How You Will Add Value?
- You will develop predictive models for portfolio optimization and scenario analysis.
- You will apply machine learning to forecast macro and market trends, and credit risk.
- You will work with large-scale financial datasets from multiple sources.
- You will build ML and AI dashboards and visualization tools for investment teams.
- You will implement natural language processing and AI for research automation.
- You will collaborate with portfolio managers and technology teams to deliver analytical solutions.
- You will mentor junior data scientists on modeling and financial concepts.
What Will Help You Be Successful in This Role?
Education & Certifications
- Bachelor’s degree in engineering or Master’s/Ph.D. in data science or related field.
- CFA, CQF, or FRM certification is a plus.
Experience
- 5+ years in data science roles.
- Background in financial services or investment management preferred.
Technical Skills
- Proficiency in Python, R, and SQL.
- Experience with MLOps principles and ML pipeline automation.
- Hands-on work with generative AI and agent-based frameworks.
- Knowledge of time-series modeling and portfolio optimization algorithms.
Portfolio and Quantitative Analytics Analyst – Lazard Wealth
Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward — and for careers to take flight.
Lazard Wealth (LW), LAM’s wealth management business, collaborates with our clients to help solve and simplify the complexities of wealth, while delivering sophisticated investment solutions and advice. We combine years of history and experience to help preserve and grow our clients’ wealth across generations. The principal areas of focus with clients are strategic advice and planning, investment management and direct private investments. Working in partnership with families, we customize an investment process that meets their specific needs.
We are seeking a Portfolio & Quantitative Analytics Analyst to play a critical role in supporting and overseeing risk management functions within our firm. You will be responsible for developing and implementing effective risk management strategies, models, reports, and procedures across client portfolios, market research, and technology solutions.
We’ll trust you to:
- Utilize and assist in the development and maintenance of risk models and tools to identify and monitor portfolio risk factors, stress test portfolios, and ensure compliance with risk management guidelines.
- Proactively monitor market conditions and perform scenario analysis to assess potential impacts on portfolio risk exposures and recommend necessary adjustments.
- Observe and contribute to portfolio and investment decisions; contribute to the development of investment strategies, asset allocation models, and risk management frameworks, incorporating quantitative research insights.
- Become proficient in statistical techniques and quantitative models to assess portfolio and investment risk, estimate potential returns, and optimize portfolio construction in order to deliver performance attribution analysis, factor-based exposures, and portfolio optimization.
- Stay updated on the latest industry trends and research advancements in risk management, quantitative analysis, and portfolio construction methodologies.
- Collaborate with other groups within the Firm to offer quantitative support and industry specific input.
- Support the Investment Team with quantitative research and analysis of investment opportunities across various asset classes, including equities, fixed income, and alternative investments with a strong focus on risk management and portfolio construction.
- Evaluate and implement risk management techniques, such as hedging strategies, derivatives, and asset allocation adjustments to mitigate portfolio risks and enhance risk-adjusted returns.
You’ll need to have:
- 3-5 years’ experience in a risk management, analytical, or quantitative role, particularly within the asset allocator and wealth management space.
- A Bachelor’s degree in finance, economics, mathematics, statistics, or a related field. Advanced degree (e.g., MBA, MSc) with a focus on quantitative finance or risk management is preferred.
- Understanding of risk management principles, quantitative modeling techniques, and statistical analysis.
- Experience using programming languages such as R and MATLAB for quantitative research, data analysis, model implementation and creation of interactive dashboards.
- Proven experience in MATLAB programming and software development.
- Ability to prioritize and manage multiple tasks and projects effectively.
- Ability to access, manipulate, and clean large data sets from various databases and sources.
- Experience with risk modeling software, quantitative analytics platforms, and market data providers (e.g. Bloomberg).
- Familiarity with risk measurement methodologies (e.g., VaR, stress testing, factor analysis) and risk management frameworks (e.g., risk budgeting, risk-adjusted performance metrics).
- Baseline knowledge of financial derivatives, options pricing models, and portfolio optimization techniques.
- Excellent problem-solving and critical-thinking skills, with the ability to analyze complex data sets and draw meaningful insights.
- Strong communication and presentation skills, with the ability to explain quantitative concepts to non-technical stakeholders.
- A strong interest in working on a wide range of problems related to diverse asset classes and investment strategies. Understanding or interest in learning about alternative asset classes.
- Professional certifications such as FRM, CQF, or CFA are desirable.
Manager, Stress Testing Oversight
Key Responsibilities
- Define the specifications and methodology for the stress testing program, ensuring alignment with ECB and other applicable EU regulatory requirements, in particular for systemically important institutions.
- Lead the coordination and definition of key stress testing assumptions (macro, idiosyncratic, and reverse stress scenarios) with internal stakeholders and expert teams across risk, finance, and business lines.
- Oversee and ensure the ongoing adequacy, calibration, and fit-for-purpose operation of stress testing models and engines.
- Interpret, review, and document all stress test results, including the rationale for key assumptions and their impacts on capital, liquidity, and solvency positions.
- Present stress testing methodology and outcomes to senior management, risk committees, and regulatory bodies (ECB, CSSF) as required, articulating material risks and model limitations in a clear and concise manner.
- Maintain up-to-date documentation and process control for all elements of the stress testing lifecycle, including scenario selection, data inputs, model parameters, and reporting outputs.
- Monitor market and regulatory developments, proactively enhancing the stress testing framework to ensure best-in-class standards and ongoing regulatory compliance (ECB Guide on ICAAP/ILAAP, EBA Guidelines, CRR).
- Assist with the integration of stress testing outcomes into risk appetite, capital planning, recovery planning, and other strategic processes (e.g., ICAAP/ILAAP, SREP submissions).
- Support ad hoc regulatory data requests, internal reviews, audits, and examinations related to stress testing frameworks and outcomes.
Ideally, you would have
- 7+ years of experience in stress testing, risk management, or quantitative analytics within a regulated EU/EEA banking environment, ideally with direct exposure to ECB SSM supervision.
- Proven track record in leading or coordinating stress testing or capital planning projects
- Hands-on experience with quantitative modeling and scenario design.
- Master’s degree in finance, economics, quantitative discipline, or related field; professional certification (CFA, FRM, PRM, CQF) advantageous.
- Strong analytical skills and attention to detail, with outstanding verbal and written communication abilities.
- Capacity to interpret complex technical results for diverse audiences up to senior executive and regulator level.
- Proven experience working in a fast-paced, international environment, managing multiple stakeholders and deadlines.
VP- Digital Value Creation-TAS India
Houlihan Lokey, Inc. (NYSE:HLI) is a global investment bank with expertise in mergers and acquisitions, capital solutions, financial restructuring, and financial and valuation advisory. Houlihan Lokey serves corporations, institutions, and governments worldwide with offices in the Americas, Europe, the Middle East, and the Asia-Pacific region. Independent advice and intellectual rigor are hallmarks of the firm’s commitment to client success across its advisory services. The firm is the No. 1 investment bank for all global M&A transactions for the past two years, the No. 1 M&A advisor for the past 10 years in the U.S., the No. 1 global restructuring advisor for the past 11 years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by LSEG.
Financial and Valuation Advisory
Over the past 40 years, Houlihan Lokey has established one of the largest worldwide financial and valuation advisory practices. Our transaction expertise, leadership in the field of valuation, and objective approach to independent due diligence advice inspire confidence in the financial executives, boards of directors, special committees, retained counsel, investors, and business owners we serve. In 2020, Refinitiv (formerly known as Thomson Reuters) ranked us the No. 1 U.S. M&A fairness opinion advisor over the past 20 years. Our stability, integrity, technical leadership, and global capabilities make us a trusted advisor for clients worldwide across a wide range of services, including the Transaction Opinions, Transaction Advisory Services, Corporate Valuation Advisory Services, Portfolio Valuation and Fund Advisory Services, Real Estate Valuation and Advisory Services, and Dispute Resolution Consulting practices.
Transaction Advisory Services
Houlihan Lokey’s Transaction Advisory Services (TAS) practice assists private equity and corporate clients with financial, IT and tax due diligence, business analytics, and technical accounting matters associated with corporate mergers, divestitures, and acquisitions (M&A). Drawing on Houlihan Lokey’s market leadership in middle-market M&A transactions, our due diligence experts provide candid, unbiased, and rigorous support on matters most impacting deal value, and assist investors in identifying and evaluating key value drivers and risk factors.
TAS India
TAS India covers Financial due diligence, Accounting and financial reporting and Digital value creation services. We have a highly integrated ‘one-team’ working model where TAS India team members are fully embedded into an engagement lifecycle – from client pitch to client discussions through closure. They have similar exposure to project complexities and client situations as their counterparts in the global TAS teams, and work in similar ownership and accountability construct. With a strong industry orientation and innovation-focused environment, we offer a unique proposition comprising best-in-class functional, industry and technology competencies along with an exposure to global M&A markets.
Job Description
TAS is seeking talented professionals to join our fast-growing Digital Value Creation group (DVC) at the Vice President level. DVC provides our clients value-creating insights from vast market, operational, and financial data. DVC professionals work closely with HL due diligence, valuation and investment banking teams alongside clients’ deal and operating teams. As a professional in the group, you will be teamed with highly talented and dedicated M&A professionals in various industry groups including Industrials, Consumer, Technology, Business Services and Financial Services. This opportunity provides you broad exposure to different transactional issues affecting businesses in an M&A environment.
This is a unique opportunity for someone with proficiency in data analytics along with experience in applying data analytics techniques to financial and operational analyses that is fundamental to an M&A process. DVC provides you ample exposure to the M&A and corporate finance industry and capital markets. You will further develop and extend your data analytics knowledge, and hone your interpersonal skills as you deliver valuable insights that derive transaction and strategic decision making for internal and external stakeholders.
Responsibilities
• Participate in buy-side and sell-side M&A engagements and data-focused operational reporting engagements
• Lead engagements or substantial workstreams within an engagement, taking ownership of the execution, quality and timeliness of deliverable to clients
• Day-to-day project management, ensuring progress in line with project plan and effective resource management; resolving bottlenecks and complex questions; identifying risks and delays; reporting and escalating issues as required; tracking budgets; etc.
• Communicate directly and effectively with senior business executives and internal stakeholders, providing project updates, discussing questions and bottlenecks, and sharing points of view and recommendations as defined within project scope
• Gather, evaluate, sanitize, and organize applicable meta data
• Prepare data workflows to clean and combine data from multiple sources
• Prepare data visualizations and dashboards to deliver key insights
• Generate insights on the drivers of business growth, profitability, and liquidity, and story-board key findings into a structured and comprehensible report
• Identify key business risks and opportunities impacting business valuation
• Be willing to learn and train peers on data analysis and visualization tools
• Continuously develop industry knowledge and qualifications
• Be able to work on and lead multiple assignments simultaneously
• Support and actively participate in business development efforts
• Review the work of junior team members, ensuring desired quality and insights, and providing timely feedback for their continuous learning
• Manage a team of 2-3 Analysts and/or Associates, being responsible for their learning and professional development
Basic (must-have) Qualifications
• Bachelor’s degree in technology / computer science / accounting / finance or quantitative finance, or similar (with concentration in data analytics or another quantitative field)
• Experience in financial analytics based on sound understanding of financial statements like Profit & Loss and Balance sheet and ability to analyze financial and operating performance of a company
• Hands-on experience in working on one of the data wrangling / ETL tool i.e. Alteryx, Dataiku etc.
• Sound knowledge of and experience in data visualization tools, either Tableau or Power BI
• Strong command of advanced Microsoft Excel functions, PowerPivot, Power Query, etc.
• Experience working in a global organization across different time zones, managing both internal and external stakeholders
• Team management experience, covering role expectations, learning and development, and performance management
• Exceptional work ethic, high motivation, and a demonstrated ability and desire to work cooperatively with team members and client professionals
• Strong analytical abilities
• Exceptional verbal and written communication skills
• A demonstrated ability to work cooperatively and be a team player
Preferred (good-to-have) Qualifications
• Post graduate degree or diploma, or certification in any of the above fields of study or business administration (for instance MBA, CFA, CQF etc.)
• Experience in M&A and financial consulting areas such as Financial due diligence, Valuation, Financial Planning & Analysis will be a strong advantage
• Strong command of at least one programming language Python, R, VBA
• Prior work experience in relational database management systems (including experience in SQL Server, Snowflake, or similar)
Risk Analytics (IRB Credit Rating Model), Director, Firm Risk Management)
We’re seeking someone to join our team as a Director in Risk Analytics (IRB Credit Rating Model) team
Firm Risk Management
In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives.
Company Profile
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you’ll do in the role:
Responsibilities
• Quickly develop a deep understanding of Morgan Stanley’s credit risk analytics models.
• Participate in research, development, and implementation of credit risk models
• Perform econometric analyses to support methodology development
• Support backtesting, stress testing, scenario analyses and sensitivity studies
• Analyze model changes and perform data analyses for various purposes including model improvement
• Partner with teams across Risk Analytics, technology, model risk management, credit risk officers and other teams throughout FRM and the Firm.
• Own modeling efforts for credit risk modelling in Mumbai
What you’ll bring to the role:
Skills required (required / preferred)
• 0-10 years of work experience in quantitative modeling, Risk Management, algorithmic trading, global markets or any other quantitative/Data Science field.
• Prior analytics work experience in a bank credit-related department. Examples include lending or trading analytics.
• The candidate needs to be familiar with statistical techniques viz. Regressions Analysis, Hypothesis testing et al.
• Understanding of financial institutions regulatory frameworks. Examples include IRB, CECL, CCAR, Dodd-Frank and Basel.
• Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.
• Knowledge and hands-on experience in one of the programming languages R, Python, MATLAB, SQL, C# or C++ is strongly preferred.
• Excellent communication skills (Oral and written). Ability to communicate and present logically, precisely and in simple manner, complex and technical issues.
• Attention to details and ability to work under pressure and cope with a fast moving environment.
• PRM/FRM, CFA, CQF certification is an advantage.
• Experience in AI, ML, NLP, Big Data Analytics, PowerBI is an advantage.
RC – Market Risk – Senior Manager
Candidate must have relevant experience in in statistical / mathematical modeling, quantitative research, counterparty and market risk management, or related field at a reputed bank, investment or broker services, asset management firm or a consulting firm. Wider skill requirements include:
- Independently built and managed quantitative market and counterparty risk analytical models
- Strong experience/knowledge in at least some of the following areas (in quant space)
- Counterparty Credit Risk (PFE, CVA, XVA)
- Pricing and valuation – Derivatives (across one or more asset classes)
- Modeling of Risk Metrics (e.g, EPE, PFE, RWA, Greeks)
- Market Risk Scenarios and Stress Testing
- Development, prototyping and back-testing of Monte Carlo Credit Exposure Models o Incremental default risk, specific risk charge and stressed VaR o Worked on multiple Market Risk Models like to develop/review calculation of VaR(Historical, Parametric and Monte Carlo), RNiV, CCAR, IRC Model Validation/ development and present value for various type of instruments using any statistical tool
- Strong experience/knowledge in at least some of the following areas (business knowledge)
- Good knowledge of market risk concepts: Risk Factor, VAR, Earning at Risk, cash flow at risk, ETL, PV01, Independent Validation, Exotic derivatives, FX, Interest rate derivatives, volatility, commodities, credit derivatives, Fixed income, Hull & White, Monte Carlo simulation, Capital calculations
- Knowledge and experience with counterparty risk concepts (PFE,SA-CCR, EPE etc
- Leveraging experiential know-how of a wide range of financial products like Equity, Derivative, Swaps, IR, Credit derivatives, OTC products, Swaps, Securitization, CDO’s etc.
- Knowledge of one or more of global regulatory Topics BASEL II/III, IFRS 9, CCAR/DFAST, CECL, FRTB, SR-11/7 around data sufficiency, modeling methods, industry standards etc.
- Assisted clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure.
- Programming and Algorithms: R, Python, SAS, Matlab, Scala, VBA etc.
- Experience with with Murex, QRM, Reuters, FINCAD, Bloomberg and Algo is a plus
Non-functional skill requirements:
In order to succeed in PwC Risk CoE, it is desirable for candidates to possess:
- Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client’s business
- Excellent oral and written communication skills
- Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data
- Process orientation with strong technical skills and attention to detail
- Deep technical capabilities and industry knowledge of financial products
- Willingness to travel to meet client needs, as needed
Educational Background:
Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus
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 is a fantastic opportunity to be exposed to all aspects of the quantitative trading business. This role gives you the opportunity to join one of the world’s most successful trading firms, collaborate with an exceptionally talented team operating in a hybrid approach, and earn market-leading compensation packages.
Lead Product Manager
Join the R&D Product Management organization, to work as a product owner of complex regulatory module powered by super advance Calypso software platform that supports cross asset risk and pricing and is capable of delivery high performance.
Role Responsibilities –
As a Lead Product Manager, your focus will be on crafting and improving software product to meet the customer requirements and regulatory changes. Besides working closely with your colleagues in Mumbai, you will also work closely with Nasdaq teams in other countries.
- Research about the current capabilities of product and find avenues to further improve the product on a continuous basis
- Generate detailed functional specifications for new feature to be delivered on the product.
- Review issues raised by customer/Product support team and provide timely advice and resolutions.
- Keep track of changing regulatory landscape and update the product accordingly.
- Analyze product performance and come up with ideas to improve the same
- Come with ideas to improve the product coverage and efficiency
- Liaise and work closely with Developers and Quality Analyst to ensure seamless product delivery cycle
We expect you to have: (Minimum Qualifications)
- Experience Level 10-12 years
- Primary Skills – Financial Risk Management, Market Risk, FRTB, Capital Markets
- Soft Skills – Social skills, writing skills
- Education Qualification – MBA Finance/Bachelor in Engineering with FRM/CFA/CQF charter
It would be phenomenal if you (Preferred Qualifications)
- FRM/CFA/CQF Charter holder
- Experience in pricing and valuation of exotic financial derivative products
- Market Risk Management process and regulations
- Project Management and Execution