14 Quantitative Finance Jobs

ISS STOXX Group is a global index provider currently providing a cross-asset class index family of over 6,500 indices. The ISS STOXX Group is at the forefront of innovative Index design, continuously expanding its portfolio of sustainable and multi-asset class indices and operates on a global level. The indices are licensed to the worlds largest issuers of financial products, Asset owners and managers as well as to more than 500 companies around the world. Our Indices are used as the portfolio basis for ETFs, UCITS-compliant funds, Structured Products, futures, and options and for risk and performance measurement. The successful candidate will be part of a global, dynamic and inclusive research team that are responsible for index research and design, developing thought leadership in the sustainability investment space and creating competitive index solutions. Responsibilities: Develop tools and processes that facilitate the development of innovative passive quantitative strategies. Work closely with internal and external stakeholders. Qualification: Postgraduate level or above in Quantitative finance background. 2-5 years experience within financial markets Excellent technical skills in Python, SQL and data manipulation. Strong hands-on experience working with GCP. Good communication, writing and presentation skills, including the ability to convey technical concepts to a wide range of audiences, are advantageous. Nice to have: Experiences working with ESG, Climate, or Sustainability data, either in an industry role or in a research setting.

: In Scope of Position based Promotions (INTERNAL only) Job Title Treasury Markets and Investments (TMI) Corporate TitleAssociate/AVP LocationMumbai, India Role Description The candidate will be part of the Pool desk (within TMI) in Mumbai. The Pool function in Treasury is vital to the Banks success. It acts as the gate keeper of the Banks short term unsecured funding. The pools aim is to fund the structural gap between assets and liabilities after issuance. Pool raises short term funding via money markets. It aims to fund the working capital of the bank as cheaply as possible given regulatory & internal requirements. Further, Pool risk manages and hedges IR and FX risks across Treasury and is responsible for external derivatives execution on behalf of Treasury. Pool is operating in & covering all DB locations and LEs globally. Pool also contains the Benchmarks Team which oversees the submission of the Banks contributions to global interest rate calculations. The current role is part of the Treasury Office in DIPL Mumbai. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Deliver comprehensive risk management and analytics support to the desk. Functional involvement is within Treasury Markets and Investments (TMI) but may also require close coordination with other Treasury areas such as Liquidity Management, Funds Transfer Pricing, Treasury Regulation, Capital Management and Balance Sheet Management. Work with local pool managers to analyze drivers of net interest income in the respective pool and work on adjustments to FTP, liquidity deployment and evaluate various funding options, while meeting regulatory constraints Independently help analyze Risk and P&L for Local Pools Assist local pool managers in regional roll outs of new infrastructure systems and treasury change projects. Help automate certain ticketing processes and the production of currently manually produced reports. Work on relevant Treasury projects within the region/globally. Work in close cooperation with business and internal stakeholders such as Markets, Risk and Finance to drive key Treasury initiatives/agenda. Preparation of Treasury inputs and supporting Treasury participation in forums or meetings. Your skills and experience University degree with a quantitative focus (Economics, Finance, Mathematics, Computer Science, etc.) At least 2 years of professional experience in dealing with quantitative finance concepts, supporting a trading / structuring desk or a trading risk management function. Product knowledge in unsecured cash and derivative products; understanding of risk metrics such as PV01 and VAR Sound analytical and problem-solving skills. Strong written, verbal communication and presentation skills. How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Quantitative development to implement and optimize algorithms for asset pricing, risk management, and trading strategies and migrate analytics from c++ to Python Writes secure and high-quality code using Python or C++ with limited guidance Required Candidate profile 3+ years of Python, C++ Quantitative finance background with strong experience in bonds Experience with calculating Risk or Pricing of asset classes

Founded : Sept 2023 Team Size: 40-50 Experience : 2+ Years Role Overview We are seeking a highly skilled Quantitative Trader to develop and execute high and mid-frequency trading strategies in global markets. The ideal candidate will have a strong background in market microstructure, ultra-low-latency execution, and statistical arbitrage. As part of our trading team, you will be responsible for designing, back-testing, and optimizing trading algorithms, leveraging cutting-edge AI and high-performance computing to capitalize on ultra-short-term market inefficiencies. You will work closely with quantitative researchers and engineers to enhance execution speed and efficiency while managing real-time trading risk. Key Responsibilities: As a Quantitative Trader, your responsibilities will include: - Designing, implementing, and deploying high-frequency trading algorithms. - Typical strategies deployed include Alpha-seeking strategies and Market Making. - Rigorously back-test strategies on in-house research infrastructure. - Creating tools to analyze data for patterns. - Contributing to libraries of analytical computations to support market data analysis and trading. - Developing, augmenting, and calibrating exchange simulators. Preferred Qualifications: We're seeking candidates with: - A degree in Computer Science, Mathematics, or Engineering from a leading institution. - 2+ years of relevant work experience. - Exceptional analytical and problem-solving skills. - Proficiency in programming, particularly in C++ or C. - Working knowledge of Linux, Python, and shell scripting. - A curious mindset and a passion for understanding complex systems. - A disciplined and consistent work ethic. - Strong communication and interpersonal skills.

Quantitative development to implement and optimize algorithms for asset pricing, risk management, and trading strategies and migrate analytics from c++ to Python Writes secure and high-quality code using Python or C++ with limited guidance Required Candidate profile 3+ years of Python, C++ Quantitative finance background with strong experience in bonds Experience with calculating Risk or Pricing of asset classes

Key Skills: Quantitative Finance, Quant, Quantitative Research, Python, Equity Derivatives, SQL Roles and Responsibilities: Develop, maintain, and optimize quantitative tools, libraries, and frameworks using Python for pricing, risk analytics, and trading strategies. Collaborate with quantitative researchers and traders to translate models into robust and scalable production code. Build and support applications for equity derivatives pricing, risk management, and trade analysis. Work with large financial datasets using SQL and Python to analyze and extract relevant insights. Contribute to system architecture design and recommend best practices in code design, testing, and deployment. Ensure quality and performance of the code through disciplined software development practices including version control, unit testing, and documentation. Participate in model validation, back-testing, and performance tuning of trading and risk systems. Independently manage small to mid-sized development projects from design to deployment. Collaborate in a cross-functional, global team environment and support end-users with issue resolution and enhancements. Skills Required: Minimum 3 years of hands-on development experience in Python, ideally in a financial setting. Strong knowledge of quantitative finance, equity derivatives, and risk modeling. Solid understanding of SQL and experience working with large datasets. Experience with C++ and derivative pricing models is a strong plus. Excellent communication skills in English (both written and verbal). Strong analytical mindset and quantitative aptitude. Familiarity with software development best practices: testing, version control, modular architecture. Self-starter with the ability to take ownership of projects and deliver under minimal supervision. Education: Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field. Additional certifications or coursework in Quantitative Finance, Derivatives, or Risk Management is a plus

Role & responsibilities Value complex financial instruments including but not limited to stock-based compensation units, warrants, convertible debt, structured products etc. and arrangements such as contingent consideration for tax and financial reporting purposes using Black-Scholes models, Binomial Lattice model, Monte Carlo Simulation and other quantitative valuation techniques. Analyze equity and debt financial market data and history using time series analysis, multivariate statistics, and other quantitative valuation techniques Review agreements, loan documents, and market research in order to capture salient points to be used for financial modeling purposes Responsible for execution of end-to-end engagements, perform audit reviews and appraising third-party valuation reports Be responsible for the high-quality timely delivery of projects by self and the team members Coach a team of complex security valuation professionals Preferred candidate profile Educational qualifications An advanced degree in Quantitative Finance such as Master of Financial Engineering, Master of Science in Mathematical Finance, Master of Science in Quantitative Finance, Master of Science in Computational Finance from an accredited college/university Work experience The candidate must have 2 to 4 years of working experience in complex security valuation role. Command over advanced valuation techniques for complex securities valuations; Monte Carlo simulation, Least Squares Monte Carlo, Lattice models etc. Knowledge of financial modeling and analysis, statistical sampling, valuation calculations, and data manipulation

Role Overview: We are seeking an expert instructor to demystify the intricacies of financial markets, products, risk management, and the regulatory environment. This role requires comprehensive knowledge of financial instruments, market dynamics, valuation models, risk assessment methodologies, and global financial regulations. You will prepare students to navigate and contribute to the complex world of modern finance. Key Responsibilities: Deliver live, highly interactive online classes covering a broad range of financial topics, including market microstructure, derivatives pricing, portfolio analytics, and risk management frameworks. Explain complex concepts such as Black-Scholes, structured products, VaR calculations, credit risk modeling, and regulatory compliance (e.g., Basel III, Dodd-Frank) with practical insights and real-world examples. Guide students through case studies, valuation exercises, and risk assessment scenarios, enhancing their applied understanding. Foster a highly disciplined and engaging learning environment, providing constructive feedback and expertly answering student queries. Core Curriculum Expertise Required: Financial Theory & Core Markets: Asset pricing models, portfolio theory, derivatives, market microstructure, Modern Portfolio Theory, Black-Litterman model, factor models, equity valuation, fixed income analytics, alternative investments, order management systems, execution algorithms, market data feeds, Game Theory (auction theory, strategic trading, optimal stopping). Derivatives & Financial Engineering: Black-Scholes model, exotic options, interest rate derivatives, structured products, credit derivatives, commodity derivatives, Hull-White model, Black-Karasinski model, LIBOR Market Model, local volatility models, stochastic volatility models, jump-diffusion models, payoff design, risk-return optimization, calibration techniques. Risk Management & Portfolio Analytics: Value-at-Risk (VaR), Expected Shortfall, RAROC, economic capital, stress testing, credit risk modeling (PD, LGD, EAD), operational risk, Fama-French factors, momentum, quality, value factors, attribution analysis, benchmarking, alpha/beta decomposition. Research Methods & Regulatory Compliance: Backtesting methodologies, bias detection, statistical significance testing (application in financial research), Basel III, Solvency II, Dodd-Frank, MiFID II, product approval processes, capital requirements, investor protection. Qualifications: Educational Background: Bachelor's, Master's, or PhD in Quantitative Finance, Financial Engineering, Economics, Business Administration (with a strong finance focus), or a closely related field. Relevant certifications (CFA, FRM) are highly valued. Experience: Proven experience in roles such as Quantitative Analyst (Buy/Sell-Side), Financial Engineer, Risk Manager (Quantitative), Algorithmic Trader, or a similar position within investment banks, hedge funds, asset managers, or regulatory bodies. We also consider freshers with exceptional academic records and demonstrable project experience in these domains. Domain Expertise: Possess an extremely strong and expert-level understanding of financial markets, complex financial products, risk management methodologies, and the regulatory landscape. Exceptional Communication Skills: Superior ability to articulate complex financial concepts, market dynamics, and regulatory requirements clearly and engagingly in a live online setting. High Discipline & Work Ethic: Demonstrated ability to maintain a rigorous teaching schedule, prepare thoroughly, and foster a disciplined learning environment. Technical Proficiency: Highly tech-savvy with experience in online teaching tools, virtual whiteboards, and relevant financial software/platforms (e.g., Bloomberg Terminal, FactSet, quantitative libraries). Mandatory Requirement (Crucial for Application): A strong background in Finance or Trading , especially with Algorithmic Trading or broader Quant experience , is a mandatory requirement for all applicants. This ensures practical relevance and industry context. Application Requirement: To assess your teaching prowess and technical communication skills, all applicants must submit a sample teaching video of at least 30 minutes on any topic within Financial Markets, Products, Risk & Regulation that you are highly proficient in (e.g., explaining exotic option pricing, demonstrating VaR calculation, or detailing a regulatory framework). This video should clearly demonstrate your ability to explain complex concepts, engage an audience, and showcase your depth of expertise, hard work, and disciplined approach to teaching.

Role Overview: We are looking for an exceptional instructor to build the foundational quantitative capabilities of our students. This role demands a deep and nuanced understanding of advanced mathematics, probability, statistics, and stochastic processes, and the ability to convey these complex concepts with clarity and precision. You will be instrumental in laying the analytical bedrock for all quantitative finance careers. Key Responsibilities: Deliver live, engaging online classes on advanced mathematical concepts, probability theory, statistical inference, and time series analysis. Explain complex topics such as linear algebra, multivariable calculus, optimization, numerical methods, Bayesian statistics, ARIMA/GARCH models, and stochastic calculus (e.g., Ito's Lemma, SDEs) with exemplary clarity. Guide students through rigorous problem-solving, derivations, and statistical analyses, ensuring a deep conceptual and practical understanding. Foster a highly disciplined and interactive learning environment, providing constructive feedback and expertly answering student queries. Core Curriculum Expertise Required: Core Mathematics: Linear algebra, multivariable calculus, real analysis, optimization theory, numerical methods, optimization algorithms. Probability & Statistical Inference: Probability theory, statistical inference, hypothesis testing, Bayesian statistics. Time Series Analysis: ARIMA models, GARCH models, cointegration, Vector Autoregression (VAR). Advanced Statistical Techniques: Regression analysis, principal component analysis, Monte Carlo methods, extreme value theory, copulas, survival analysis. Stochastic Calculus: Ito's lemma, Brownian motion, stochastic differential equations, partial differential equations, measure theory, martingale theory. Data Experimentation & Signal Processing: Causal inference, A/B testing, experimental design, signal detection, regime change detection, correlation analysis. Qualifications: Educational Background: Bachelor's, Master's, or PhD in Mathematics, Statistics, Quantitative Finance, Econometrics, Physics, or a closely related highly quantitative field. Experience: Proven experience in applying advanced mathematics, probability, and statistics in academic research, quantitative finance, or a related analytical domain. We value both experienced educators and talented freshers with exceptional academic records and demonstrable project experience. Domain Expertise: Possess an extremely strong and expert-level understanding of the theoretical and applied aspects of advanced mathematics, statistics, and stochastic processes relevant to quantitative finance. Exceptional Communication Skills: Superior ability to articulate the most complex mathematical and statistical concepts clearly, concisely, and engagingly in a live online setting. High Discipline & Work Ethic: Demonstrated ability to maintain a rigorous teaching schedule, prepare thoroughly, and foster a disciplined learning environment. Technical Proficiency: Highly tech-savvy with experience in online teaching tools, virtual whiteboards, and mathematical/statistical software (e.g., MATLAB, R, Python with scientific computing libraries). Mandatory Requirement (Crucial for Application): A strong background in Finance or Trading , especially with Algorithmic Trading or broader Quant experience , is a mandatory requirement for all applicants. This ensures practical relevance and industry context. Application Requirement: To assess your teaching prowess and technical communication skills, all applicants must submit a sample teaching video of at least 30 minutes on any topic within Quantitative Foundations (Mathematics, Statistics & Stochastic Processes) that you are highly proficient in (e.g., explaining Ito's Lemma, demonstrating Bayesian inference, or breaking down GARCH models). This video should clearly demonstrate your ability to explain complex concepts, engage an audience, and showcase your depth of expertise, hard work, and disciplined approach to teaching.

Job Purpose: Looking to hire Strategy research analyst to be part of Research Services team. Successful candidate will be responsible for strategy research, quantitative modelling, portfolio building, database management, thematic presentations, as well as handle numerous one-off client and team requests. Desired Skills and experience MBA/CFA with undergraduate degree in Math/Stats/Eco/Engg 5-7 years of experience, ideally in sell-side strategy research. Strong problem-solving and analytical skills, including proficiency in programming (Python), data analysis (Statistics), and financial modeling. Expertise in retrieving and analyzing information from FactSet and Bloomberg. Ability to multitask, prioritize, and excel in a fast-paced, challenging environment. Excellent communication and presentation skills in English. Key Responsibilities Conduct research and analysis on companies, industries, and markets by integrating quantitative and fundamental methods. Perform top-down and bottom-up analysis of equity markets. Assist in Factor and Style Research to generate alpha in equity markets. Analyze large datasets to identify trends, patterns, and insights using data science, machine learning, and quantitative techniques. Communicate findings through clear visualizations and presentations. Manage client requests promptly and efficiently, ensuring high-quality service and quick resolution of inquiries.

Role & responsibilities Value complex financial instruments including but not limited to stock-based compensation units, warrants, convertible debt, structured products etc. and arrangements such as contingent consideration for tax and financial reporting purposes using Black-Scholes models, Binomial Lattice model, Monte Carlo Simulation and other quantitative valuation techniques. Analyze equity and debt financial market data and history using time series analysis, multivariate statistics, and other quantitative valuation techniques Review agreements, loan documents, and market research in order to capture salient points to be used for financial modeling purposes Responsible for execution of end-to-end engagements, perform audit reviews and appraising third-party valuation reports Be responsible for the high-quality timely delivery of projects by self and the team members Coach a team of complex security valuation professionals Preferred candidate profile Educational qualifications An advanced degree in Quantitative Finance such as Master of Financial Engineering, Master of Science in Mathematical Finance, Master of Science in Quantitative Finance, Master of Science in Computational Finance from an accredited college/university Work experience The candidate must have 4 to 7 years of working experience in complex security valuation role. Command over advanced valuation techniques for complex securities valuations; Monte Carlo simulation, Least Squares Monte Carlo, Lattice models etc. Knowledge of financial modeling and analysis, statistical sampling, valuation calculations, and data manipulation

The candidate will focus on analyzing macroeconomic and market trends with a particular focus on developed currency markets and will require strong quantitative skills. Successful candidates will work on regular periodical research in the FX Research team with Tier 1 investment Bank. The candidate will work closely with the Global FX research team and regularly interact with sales and trading desks across the bank. Key Responsibilities Creating and maintaining short and medium term market and macro models that drive currency markets over time. Analyzing large sets of data and information relevant to the currency market such as flow data, positioning, option market structure and M&A data and authoring relevant reports. Generating and back testing trading ideas for G10 currencies for example on the basis of yield curve slope, yield spread, relative equity performance, valuation, and momentum and market microstructures. Writing and publishing research commentary to accompany data analysis and to discuss market drivers. Work on ad-hoc macro and market projects of relevance to the currency market, for example the impact of a widening US trade deficit on the dollar. Handle ad hoc research requests for data analysis and updates as per requirements. Job Requirements Experience Postgraduate in Economics/Finance/Maths/Physics, at least 3-5 years of work exp. Proficient in econometrics,with prior experience in quantitative modeling and forecasting. Understanding the various inter-linkages between the macro indicators and ability to relate them with the financial markets. Coding skills: R/Python (intermediate to advanced level) Having a good knowledge of databases (Haver, Datastream, Reuters, Bloomberg and other financial databases), handle a lot of data, create charts, work on complicated excel based models etc. Advanced Excel/VBA and quantitative skills: Ability to work with and analyse large set of data and information. Excellent communication and interpersonal skills High level of independent thinking and approach

The FICC Quant Developer should possess a robust understanding of Fixed Income, particularly in pricing calculations. The ideal candidate should be proficient in Python or other relevant programming languages and have experience in developing fixed income pricing models or calculations engines. Key Responsibilities Developing Fixed Income pricing/valuation and analytics models using statistical techniques Interacting with the trading and client senior technology team to analyze and understand their requirements Back testing models Working on implementing models on client calculation platforms; understanding of data quality nuances and ability to design rules around it Handle ad hoc requests for data analysis or building peripheral models. Job Requirements Experience Postgraduate in Economics/Financial Engineering/Maths/Physics, at least 8+ years of work exp. Proficient in econometrics, with prior experience in quantitative modeling specifically in Fixed Income Good understanding of Fixed income as an asset class, pricing and valuation and other analytics Coding skills: Python/C#/C++ etc. (advanced level) Having a good knowledge of databases preferably third-party providers like Bloomberg Advanced Excel/VBA and quantitative skills: Ability to work with and analyse large set of data and information. Excellent communication and interpersonal skills High level of independent thinking and approach

Responsibilities: 1. Algorithm Development, Quantitative coding 2. Trading strategies, Development 3. Data Analysis and Modeling 4. Risk Management and Compliance 5. Technology Integration and Support Required Candidate profile Bachlors in Comp. engineer,Science,Mathematics,Physics etc Hands on in coding, backtesting, derivatives, option & algorithmic trading, Python & similar language, numeric computing & analysis, trading