11 Backtesting Jobs

IRB Scorecard Analyst (Python) Location: Bangalore (Hybrid) Exp: 3-8 yrs Join: Immediate to 30 days What Youll Do: Develop and maintain Basel IRB scorecards (PD/LGD/EAD) end-to-end using Python Perform feature engineering, binning, weight-of-evidence transformation & model calibration Back-test and monitor scorecard performance; investigate PSI/KS drift & data anomalies Extract and profile data via SQL; prepare regulator-ready documentation Must Have: 3-8 yrs in IRB scorecard development or credit-risk analytics at a bank/consultancy Expert in Python for statistical modeling (pandas, scikit-learn, statsmodels) Strong SQL skills for data extraction & profiling Solid understanding of Basel II/III IRB guidelines and risk-weight parameters Nice to Have: Hands-on experience with SAS or R for supplementary analyses Familiarity with model-risk management frameworks (SR 11-7/RBI MRM) Experience automating workflows via Python scripting or CI/CD If Interested, kindly share your resume on my email ID - divya.sehgal@thethreeacross.com

IRB Scorecard Analyst (Python) Location: Bangalore (Hybrid) Exp: 3-8 yrs Join: Immediate to 30 days What Youll Do: Develop and maintain Basel IRB scorecards (PD/LGD/EAD) end-to-end using Python Perform feature engineering, binning, weight-of-evidence transformation & model calibration Back-test and monitor scorecard performance; investigate PSI/KS drift & data anomalies Extract and profile data via SQL; prepare regulator-ready documentation Must Have: 3–8 yrs in IRB scorecard development or credit-risk analytics at a bank/consultancy Expert in Python for statistical modeling (pandas, scikit-learn, statsmodels) Strong SQL skills for data extraction & profiling Solid understanding of Basel II/III IRB guidelines and risk-weight parameters Nice to Have: Hands-on experience with SAS or R for supplementary analyses Familiarity with model-risk management frameworks (SR 11-7/RBI MRM) Experience automating workflows via Python scripting or CI/CD If Interested, kindly share your resume on my email ID - simran.salhotra@portraypeople.com

Model Validation & Data Quality Specialist (Credit Risk) What Youll Do: Validate SAS-based PD/LGD/EAD models: back-testing, sensitivity, stress-testing Profile and fix data issues via SAS/SQL; track data-quality KPIs Draft concise validation reports and regulator-ready documentation Collaborate with model developers, data stewards, audit & regulators Must Have: 3 - 8 yrs in model validation or credit-risk analytics (bank/consultancy) Expert SAS + strong SQL; Python/R a plus Solid grasp of Basel IRB parameters & MRM frameworks (SR 11-7/RBI) Clear report-writing and stakeholder communication Nice to Have: Data-governance tool experience (Collibra/Informatica) PRMIA or similar model-risk certification Automation via SAS macros or Python If interested, Kindly share your resume on simran.salhotra@portraypeople.com

: In Scope of Position based Promotions (INTERNAL only) Job Title- Market Risk Analysis and Control, AVP Location- Pune, India Role Description Market and Valuation Risk Management (MVRM) provides an independent view of market risks and valuation to Deutsche Banks senior management. Market risk team manages Deutsche Banks Market Risk position in an independent and neutral way. The Market Risk Analysis and Control (MRAC) Production function is responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making, on behalf of the Market Risk Management department. The team has a global presence with staff located in London, New York, Singapore, Mumbai and Pune. The team operates a business/asset class and risk metric aligned organizational matrix supported by central functions. Functionally the team is organized as follows: Asset Class Teams own the front to back process for the asset class, infrastructure optimization, market data optimization, MRM management interface. This team is divided by business e.g. Equity, Credit, FX, Rates, Emerging Markets, and Treasury etc. Metric Production and Analysis - risk position data validation, calculation and reporting of all official market risk exposures and metrics, provision of analysis and commentary across all relevant risk metrics Strategic Production implementation of FRTB calculations, processes, controls and reporting Run the Bank (RTB) Change - continuous improvement, business process reengineering, stability and process optimisation, test execution management Data Quality and Operational Governance - data standards, completeness and accuracy, BCBS compliance, governance, documentation (KOP) Reporting strategic reporting and related data requirements, optimisation of reporting inventory and production, branding and quality of key reports COO organisational development, audit management, regulatory liaison You will be exposed to risk management techniques viz. analysis/computation of VaR, SVaR, IRC, Backtesting for a diverse range of derivative products. The team is also proficient in combining this risk knowledge with best in class automation and visualization skills including python/VBA/Tableau to provide value added analytical outputs to its stakeholders 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 This role is within Market Risk Analysis and Control Pune to focus on a number of activities across Metric Production and Analysis, Data Quality and Reporting for individual asset classes and Deutsche Bank as a whole. You will be a part of the Market Risk Analysis and Control (MRAC) function within MVRM and will be responsible for the VaR Production team which operates at a business/asset class and risk metric aligned organizational matrix supported by central functions. The primary responsibilities will be: Manage the team of Risk & VaR validation, mapping and related control along with hands-on involvement in production where necessary. Enabling the team in Running of daily, weekly and month risk metrics like VaR, SVaR, IRC etc Review of various risk metrics at a business & portfolio level and control on KPI Generation and review of critical risk reports across different risk metrics VaR/ SVaR, PST, IRC/CVA Work closely with other MRAC functions, MRMs and Finance teams for risk analysis and resolve issues around respective asset classes Collate and analyse data to help highlight the issues that are impacting the daily production process and contribute to initiatives to resolve them. Contribute to governance forums around BCBS239 Support testing of the banks risk models e.g Stressed Period Selection etc. Support the analysis and communication of business portfolio level topics to senior management and their committees Your skills and experience University degree in Finance, Economics, Mathematics or other quantitative subject. More than 10 years experience in Market Risk within the Financial Market / Investment Banking industry (other relevant backgrounds e.g. Trading, Product Control, IPV will also be considered) Proficiency in Python/VBA, Tableau, MS Office tools is desired for the role Good understanding of Market Risk workflows e.g. VaR, RNiV, Economic Capital, IRC. Excellent communication skills; ability to articulate technical and financial topics with global stakeholders and the team A reliable team player with the motivation to work in a dynamic, international and diverse environment Able to multi-task and deliver under tight deadlines A committed and motivated individual for self-development and growth Manage expectations of the team and groom the team to achieve departmental objectives alongside personal development. 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.

Greetings from HR Central!!! We do have an Urgent hiring for One of the Leading Investment Company for Quant Developer for Mumbai Location.(Work From Office) JD: Quant Developer We are working on expanding our working into algorithmic trading too and moving trading strategies in house. As the quant Developer, you will get overall backend experience and work on designing the infrastructure for trade execution as well as the backtesting engine and designing of the strategies. Looking for an Immediate joiner or Maximum15-30 Days Notice Period. Python Backtesting experience in similar environment is a must. Good in Maths Roles and Responsibilities: - We are seeking a highly skilled and motivated developer to join our team. The ideal candidate will have experience in backtesting of trading strategies, experience with the markets, and be able to handle a variety of tasks in a sequential manner. - Designing, quant modeling, code implementation, testing, liasoning with the exchanges and support for execution algorithms - Create and manage the Infrastructure and latency optimizations Requirements: - Relevant experience in either Quantitative Research / Strategy / Trading software development • Algorithmic Trading Developer - 6 Months to 3 years of experience - Graduate/ Post-Graduate Degree in Computer Science/Information • Technology/Finance/Statistics or equivalent - Strong programming skills in languages such as Python, Matlab or R or similar languages. Skills - Proven history of trading strategy development will be a positive - Highly driven and motivated; eager to learn - Ability to work in competitive and fast paced environment - Entrepreneurial mind-set, strong work ethic and hard working - Comfortable with explaining complicated models to a wide audience If interested, please share cv to anisha@hr-central.in or call me @ +91-95620-44988

: Job Title- Market Risk Analysis and Control, AVP Location- Pune, India Role Description Market and Valuation Risk Management (MVRM) provides an independent view of market risks and valuation to Deutsche Banks senior management. Market risk team manages Deutsche Banks Market Risk position in an independent and neutral way. The Market Risk Analysis and Control (MRAC) Production function is responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making, on behalf of the Market Risk Management department. The team has a global presence with staff located in London, New York, Singapore, Mumbai and Pune. The team operates a business/asset class and risk metric aligned organizational matrix supported by central functions. Functionally the team is organized as follows: Asset Class Teams own the front to back process for the asset class, infrastructure optimization, market data optimization, MRM management interface. This team is divided by business e.g. Equity, Credit, FX, Rates, Emerging Markets, and Treasury etc. Metric Production and Analysis - risk position data validation, calculation and reporting of all official market risk exposures and metrics, provision of analysis and commentary across all relevant risk metrics Strategic Production implementation of FRTB calculations, processes, controls and reporting Run the Bank (RTB) Change - continuous improvement, business process reengineering, stability and process optimisation, test execution management Data Quality and Operational Governance - data standards, completeness and accuracy, BCBS compliance, governance, documentation (KOP) Reporting strategic reporting and related data requirements, optimisation of reporting inventory and production, branding and quality of key reports COO organisational development, audit management, regulatory liaison You will be exposed to risk management techniques viz. analysis/computation of VaR, SVaR, IRC, Backtesting for a diverse range of derivative products. The team is also proficient in combining this risk knowledge with best in class automation and visualization skills including python/VBA/Tableau to provide value added analytical outputs to its stakeholders 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 This role is within Market Risk Analysis and Control Pune to focus on a number of activities across Metric Production and Analysis, Data Quality and Reporting for individual asset classes and Deutsche Bank as a whole. You will be a part of the Market Risk Analysis and Control (MRAC) function within MVRM and will be responsible for the VaR Production team which operates at a business/asset class and risk metric aligned organizational matrix supported by central functions. The primary responsibilities will be: Manage the team of Risk & VaR validation, mapping and related control along with hands-on involvement in production where necessary. Enabling the team in Running of daily, weekly and month risk metrics like VaR, SVaR, IRC etc Review of various risk metrics at a business & portfolio level and control on KPI Generation and review of critical risk reports across different risk metrics VaR/ SVaR, PST, IRC/CVA Work closely with other MRAC functions, MRMs and Finance teams for risk analysis and resolve issues around respective asset classes Collate and analyse data to help highlight the issues that are impacting the daily production process and contribute to initiatives to resolve them. Contribute to governance forums around BCBS239 Support testing of the banks risk models e.g Stressed Period Selection etc. Support the analysis and communication of business portfolio level topics to senior management and their committees Your skills and experience University degree in Finance, Economics, Mathematics or other quantitative subject. More than 10 years experience in Market Risk within the Financial Market / Investment Banking industry (other relevant backgrounds e.g. Trading, Product Control, IPV will also be considered) Proficiency in Python/VBA, Tableau, MS Office tools is desired for the role Good understanding of Market Risk workflows e.g. VaR, RNiV, Economic Capital, IRC. Excellent communication skills; ability to articulate technical and financial topics with global stakeholders and the team A reliable team player with the motivation to work in a dynamic, international and diverse environment Able to multi-task and deliver under tight deadlines A committed and motivated individual for self-development and growth Manage expectations of the team and groom the team to achieve departmental objectives alongside personal development. How well support you

We’re hiring a Quant Developer with 1+ years of experience in Python, trading systems, machine learning, and financial markets. Must have skills in MongoDB, Redis, APIs, Websockets, SSH tunneling & cloud computing. Good to have Stock market knowledge

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 strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and salespeople, our invaluable quantitative perspectives on complex financial and technical challenges power the business decisions. Within SPG, our team is responsible for utilizing modern and sophisticated quantitative techniques to enhance and further develop our Equities financing and One Delta trading capabilities. This includes traditional derivatives pricing and modelling, as well as automation of our quoting, hedging and risk management activities. YOUR IMPACT You'll be part of a diverse and talented team, applying your advanced scientific training to tackle new and exciting problems within ourSynthetic trading business. Role Responsibilities: Develop and maintain derivatives pricing modelsfor SPG, such as Equity Swaps, Futures, OTC equity derivatives etc. Scale the business by increasing automated risk management for exposures to Equity, FX etc. Expand the scope of our pricing capabilities to new underliers/payoffs, solving idiosyncratic challenges along the way. Enhance risk management by backtesting hedging strategies for One Delta products. Collaborate closely withthe trading team to ensure daily accurate risk management. Who We Look For: An ideal candidate would have strong quantitative and technical problem solving skills, drive to investigate and learn new ideas, and good judgement to deliver quick yet robust solutions. Basic Qualifications: Strong academic background in a relevant STEM field (Computer Science, Engineering, Physics or Mathematics) Strong quantitative and programming skills (Java, C++, Python) Strong interpersonal/communication skills Ability to focus both on details and on the big picture Ability to work in a dynamic and fast- paced environment and deliver accurate results quickly Ability to solve problems and to explain underlying ideas Preferred Qualifications: Knowledge and understanding of financial markets, financial modeling, a quantitative understanding of probability

• Develop, back test & optimise algo trading strategies for proprietary trading model • Use mathematical models, statistical techniques, & ML to improve performance • Analyse datasets to identify opportunities • Develop Python-based tools & automate Required Candidate profile • Ensure models accuracy & compliance • Prepare report & presentation on performance • Python, Mongo DB, C++, ML, Probability, Statistics • Understanding of financial market & NISM VIII certification

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