Assist in developing research, quantitative models, and AI-enabled tools for multi-asset portfolios, supporting global teams across Bangalore, Boston, EMEA and APAC.
Responsibilities
Own Tactical Asset Allocation research workstreams
Develop and improve quantitative frameworks for asset allocation and portfolio construction
Support the full model lifecycle in Bangalore
Apply AI-enabled tools and modern research workflows
Execute priority research within the global multi-asset agenda
Requirements
Advanced degree (PhD/MS/MBA) in Finance, Economics, Mathematics, Statistics or a related quantitative discipline
Lead the technical implementation and development of economic forecasting models, including city, regional, and hyperlocal applications
Ensure that Oxford Economics’ city forecasting models and analytical pipelines are technically robust, scalable, and aligned with the latest methodological developments
Present research findings to internal teams, clients, and stakeholders with clear, actionable recommendations
Line-manage and lead a small team of economists and data scientists
Design, code, implement, and maintain quantitative models to assess economic performance, spatial disparities, and the impact of geographic factors on economic activities
Requirements
Strong academic education in economics, geography, data science, or a related discipline
Nice to have: experience developing forecasting models for city, regional, or small-area applications
Nice to have: experience with spatial econometrics
Nice to have: experience leveraging machine learning techniques for classification and regression
Develop quantitative supply chain and business models to help evaluate, design, and scale innovative logistics solutions for climate transformation.
Responsibilities
Develop quantitative supply chain and business models for innovative, climate-friendly logistics and supply chain solutions
Conduct techno-economic and financial analyses, including capital and operating cost modelling (CapEx/OpEx), investment requirements, net present value (NPV), internal rate of return (IRR), break-even analyses, and sensitivity and scenario assessments
Analyse and model supply chain networks, including transport and logistics structures, network optimization, infrastructure and location choices, capacity requirements, material and product flows
Develop cost projections and business models along supply chains, assessing cost curves, economic incentives, value creation, and investment requirements
Collect, structure, and analyse supply chain, market, and operational data
Requirements
Bachelor's or Master's in supply chain management, logistics, industrial engineering, operations research, economics, business administration, or a related quantitative discipline
Davidson Kempner's Quantitative Research team is a centralised research group supporting investment teams across the Firm’s strategies, including equities, corporate credit, real estate, structured products, and merger arbitrage.
Responsibilities
Conduct quantitative analysis across companies, sectors, and asset classes, including revenue forecasting, business performance evaluation, and investment monitoring.
Source, evaluate, and analyse traditional and alternative datasets, assessing data quality, coverage, biases, and limitations.
Apply a range of statistical and quantitative methods to analyse data, develop models, generate forecasts, and test investment hypotheses.
Write, test, maintain, and document reliable Python and SQL code; work with databases and develop reusable analytical processes.
Use desktop and programmatic AI tools creatively to enhance research capabilities and analytical efficiency.
Assist in developing and implementing research, quantitative models, and AI-enabled tools for multi-asset portfolios, focusing on equity forecasting and tactical asset allocation.
Responsibilities
Own Tactical Asset Allocation research workstreams, including idea formulation, data preparation, model development, back-testing, robustness analysis, documentation and implementation support for short- to medium-term multi-asset signals with focus on equity forecasting.
Develop and improve quantitative frameworks for asset allocation and portfolio construction, considering transaction costs, risk controls, regime sensitivity and real-world implementability.
Support the full model lifecycle in Bangalore, including documentation, validation, production hand-off, monitoring, periodic review and engagement with Model Risk Management and other governance partners.
Apply AI-enabled tools and modern research workflows, including machine learning, NLP and LLM-based approaches to improve research productivity, insight generation and reproducibility.
Execute priority research within the global multi-asset agenda, working with senior researchers, portfolio managers and client portfolio managers across regions.
Requirements
Advanced degree (PhD/MS/MBA) in Finance, Economics, Mathematics, Statistics or a related quantitative discipline
Lead model risk oversight of valuation models and models used to meet EU trading book requirements at BofASE, its EU broker-dealer.
Responsibilities
Report to the EU Model Risk Officer and provide independent challenges on valuation models and prudent valuation (AVA) methodologies.
Serve as a senior model risk contact for the ECB and ACPR and participate in Model Risk Management governance routines in BofASE.
Lead end-to-end testing of valuation models, from scenario design and implementation through results consolidation and reporting, and assess model performance and adequacy in capturing material risk factors and meeting EU trading book regulatory requirements.
Lead the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization.
Identify continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation.
Requirements
PhD or Master's degree in a quantitative field such as Mathematics, Physics, Quantitative Finance or Engineering
Oversees incentive programs for the full US Rare Disease and Value and Access Business Units, managing design, implementation, and administration of incentive plans.
Compensation
The annual base salary range for this position is $145,000 - $210,000.
Responsibilities
Establish and maintain strategic relationships with cross-functional leaders
Drive innovation to deliver top-performing IC Plans
Lead and influence the Rare Diseases IC Advisory Board meetings
Demonstrate knowledge of incentive compensation plans
Liaise with US Forecasting team on revenue projections
Requirements
BA.BS degree in related field
Nice to have: advanced degree
Nice to have: 4+ years incentive compensation design
Nice to have: broad commercial operations experience
As a Consultant within Alira Health’s Management Consulting Division, you will work on client engagements at the intersection of life sciences and strategy, owning and leading project workstreams.
Compensation
The final offer will be determined within the applicable location-specific range and will depend on the candidate’s confirmed work location, relevant experience, skills, qualifications, internal equity, and role scope.
Responsibilities
Lead secondary research activities and manage primary interview campaigns end-to-end, including profile screening, discussion guide development, and interview monitoring.
Lead the structuring and development of quantitative models, including assumption setting, scenario analysis, and model validation.
Synthesize findings across multiple analyses into structured insights and develop coherent sections of client deliverables, ensuring outputs align with the overarching project narrative.
Ensure the quality, accuracy, and consistency of workstream outputs, including reviewing and proofreading contributions from junior team members.
Present project findings in client meetings with limited senior support, respond to client feedback, and ensure its integration into deliverables.
Requirements
Master’s degree with an excellent academic record in Business, Economics, Finance, or Life Sciences (e.g., Medicine, Pharmacy, Biotechnology, Biomedical Engineering).
Underwriter in the Agriculture Reinsurance team, shaping and growing North American and EMEA Agriculture portfolios.
Compensation
For Switzerland, the base salary range for this position is between 72,000 CHF and 108,000 CHF for a full-time role.
Responsibilities
Originate, analyse and underwrite reinsurance business across North America and EMEA
Support costing, loss modelling and portfolio management
Develop and enhance analytical and costing approaches
Translate data and model outputs into actionable insights
Analyse commodity-price exposures and contribute to hedging solutions
Requirements
University degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, Natural Sciences, Agriculture, Engineering or a related discipline
Nice to have: Understanding of insurance and/or agricultural production systems
Equity Research - Assistant Vice PresidentState Street · Bangalore, India
Supply Chain Modelling ExpertKühne-Stiftung (Kuehne Foundation) · Hamburg, Germany.png?1733925839)
Quantitative Research InternDavidson Kempner for LinkedIn · London, United Kingdom
Junior Underwriter AgricultureSwiss Re · Zurich, Switzerland