Client is a Luxury Real Estate expert in Bangalore and the Real Estate arm of a well known Indian conglomerate. They are looking for Head of Interior Design and the position is based in Bangalore. The candidate will lead a team of 5 Interior Designers Managers. Project Design: Develop design briefs, concepts based on the project vision Translate design direction into mood boards, renders, and drawings with accuracy Design spaces coordinating architectural layouts, furniture layouts, services, materiality with accurate detailing captured at the design stage Assist in selection of materials, preparation of sample boards and finalization of materials based available budgets Track, manage, and adhere to project schedules and deadlines effectively Review/ Selection of FFE adequate to the design brief Accessory selection and styling of interior spaces Coordination with Internal Team and External Consultants: Coordination with internal teams and external consultants to close design with all relevant stakeholders Ensuring optimum design inputs for Marketing renders Incorporating branding effectively into the design story/ developments Resolve design issues and clashes promptly to ensure smooth progress of projects Ensure timely delivery of drawings to meet project milestones Ensure design intent is effectively communicated through adequate documentation to convey all requirements to stakeholders Ensure timely and accurate selection of material, done in line with budgets and coordination with our vendors. Identifying value engineering. Key Requirements Bachelor in Architecture or Bachelor in Interior Design Applicant must have experience in interior design for Highrise Commercial (office buildings) and Residential project common areas Experience in Hospitality projects will be an advantage Excellent communication and presentation skills

A well-established investment management firm is seeking an experienced and dynamic Vice President to lead its Data Oversight team based in Pune. The ideal candidate will be responsible for managing a team of analysts, enhancing data quality frameworks, and driving innovation in data operations across investment functions. This leadership role offers the opportunity to make a significant impact in a data-centric environment supporting global investment decisions. Key Responsibilities Lead and manage a team of data analysts focused on daily data oversight workflows, incident resolution, and continuous improvement of data quality controls. Enhance the data quality rules engine by incorporating advanced exception detection methods, including AI/ML techniques and cross-validation with structured and unstructured data sources. Oversee the onboarding of new datasets, defining data control requirements and minimizing noise in exception reporting. Guide team members through technical development sessions, including code reviews and test design. Produce performance metrics for the team, evaluating effectiveness and efficiency through detailed reporting. Support ad-hoc analytical requests and collaborate closely with engineering teams to test and validate data pipelines. Write and optimize SQL and Python scripts to conduct in-depth data analysis and process automation. Key Requirements At least 12+ years of experience in investment data analysis and data management operations, with SQL / Python scripting experience. Proven team leadership or people management experience. Knowledge of financial data domains such as market data, fundamentals, macroeconomics, transactions, risk, and performance analytics. Proven ability to manage competing priorities with strong organizational and project management skills. Strong command of SQL and Python for data handling and analysis. Academic credentials in Mathematics, Statistics, Engineering, or related quantitative fields. Background in quantitative modeling or systematic portfolio construction is a plus.

VP, Data Oversight, Investment Management (Pune, India) - Amethyst Partners VP, Data Oversight, Investment Management (Pune, India) A well-established investment management firm is seeking an experienced and dynamic Vice President to lead its Data Oversight team based in Pune. The ideal candidate will be responsible for managing a team of analysts, enhancing data quality frameworks, and driving innovation in data operations across investment functions. This leadership role offers the opportunity to make a significant impact in a data-centric environment supporting global investment decisions. Key Responsibilities Lead and manage a team of data analysts focused on daily data oversight workflows, incident resolution, and continuous improvement of data quality controls. Enhance the data quality rules engine by incorporating advanced exception detection methods, including AI/ML techniques and cross-validation with structured and unstructured data sources. Oversee the onboarding of new datasets, defining data control requirements and minimizing noise in exception reporting. Guide team members through technical development sessions, including code reviews and test design. Produce performance metrics for the team, evaluating effectiveness and efficiency through detailed reporting. Support ad-hoc analytical requests and collaborate closely with engineering teams to test and validate data pipelines. Write and optimize SQL and Python scripts to conduct in-depth data analysis and process automation. Key Requirements At least 12+ years of experience in investment data analysis and data management operations, with SQL / Python scripting experience. Proven team leadership or people management experience. Knowledge of financial data domains such as market data, fundamentals, macroeconomics, transactions, risk, and performance analytics. Proven ability to manage competing priorities with strong organizational and project management skills. Strong command of SQL and Python for data handling and analysis. Academic credentials in Mathematics, Statistics, Engineering, or related quantitative fields. Background in quantitative modeling or systematic portfolio construction is a plus.

Our client, a leading global investment firm, is looking to expand its systematic strategies platform and is hiring a Quantitative Developer in Pune, India. Key Responsibilities: Developing tools and models to support the end-to-end systematic investment process Contribute to the development of a next-generation systematic options platform Support factor research and risk management models tailored to derivatives strategies Develop front-end tools for portfolio optimization, monitoring, and trade automation Onboard and process data from internal and external sources Automate and streamline manual processes across the investment workflow Work closely with cross-functional teams to support modeling, trade execution, and reporting Key Requirements Master's in Engineering, Economics, Finance, or related field (preferred) CFA or FRM (completed or pursuing) is an advantage Advanced Python programming skills and familiarity with another programming language (e.g., MATLAB, R, or C++) Exposure to multi-asset class modeling (equities, fixed income, FX, commodities) is desirable Machine learning or NLP experience is considered a strong plus Interested parties please send your resume to Abhishrut Banerjee at . Regrettably, only shortlisted candidates will be contacted.

Quantitative Developer, Investment Management (Pune, India) - Amethyst Partners Quantitative Developer, Investment Management (Pune, India) Our client, a leading global investment firm, is looking to expand its systematic strategies platform and is hiring a Quantitative Developer in Pune, India. Key Responsibilities: Developing tools and models to support the end-to-end systematic investment process Contribute to the development of a next-generation systematic options platform Support factor research and risk management models tailored to derivatives strategies Develop front-end tools for portfolio optimization, monitoring, and trade automation Onboard and process data from internal and external sources Automate and streamline manual processes across the investment workflow Work closely with cross-functional teams to support modeling, trade execution, and reporting Key Requirements Master s in Engineering, Economics, Finance, or related field (preferred) CFA or FRM (completed or pursuing) is an advantage Advanced Python programming skills and familiarity with another programming language (e.g., MATLAB, R, or C++) Exposure to multi-asset class modeling (equities, fixed income, FX, commodities) is desirable Machine learning or NLP experience is considered a strong plus

Key Responsibilities: Oversee end-to-end employee lifecycle management for corporate employees, from onboarding to exit. Collaborate with business leaders to assess and bridge talent, performance, and engagement gaps. Implement and manage performance management and talent development frameworks to strengthen organizational capability. Support M&A activities by developing project plans, tracking key deliverables, and coordinating stakeholder communication. Lead the execution of special HR projects and initiatives, ensuring alignment with business objectives. Design and implement reward and recognition (R&R) programs to enhance employee motivation and retention. Drive process automation within HR to improve efficiency and accuracy. Contribute to the development, review, and enhancement of HR policies in line with evolving business needs and compliance requirements. Prepare and analyze HR dashboards and MIS reports for strategic decision-making. Stay informed of industry trends and best practices in engagement, talent management, and employee experience to drive continuous improvement. Key Requirements HR with at least 4 - 6 years of experience in a HRBP role. A postgraduate degree in HR from a Tier 2 MBA institution is a must. Prior exposure to Performance Management Systems (PMS) will be considered an added advantage. Interested parties please send your resume to Abhishrut Banerjee at . Regrettably, only shortlisted candidates will be contacted.

Senior Quantitative Researcher (Bangalore, India) - Amethyst Partners Senior Quantitative Researcher (Bangalore, India) Our client, an investment firm, is looking to expand its systematic strategies platform and is hiring a Senior Quantitative Researcher in Bangalore, India. Key Responsibilities: Quantitative Research Model Development: Design, build, and enhance statistical and machine learning models to forecast market behavior and identify trading opportunities. Advanced Data Analytics: Extract insights from large-scale historical and alternative datasets to develop predictive signals and evaluate strategy performance. Strategy Design Deployment: Partner with trading and engineering teams to backtest strategies using proprietary platforms and support live deployment in production environments. Algorithmic Optimization: Continuously refine models and algorithms to improve execution efficiency, predictive accuracy, and robustness across various market conditions. Risk Scalability Assessment: Conduct thorough risk evaluations of models and strategies, including stress testing and analysis of scalability constraints. Tooling Infrastructure: Develop and maintain research tools and dashboards to support simulation, visualization, and performance tracking of trading strategies. Cross-functional Collaboration: Engage closely with developers, traders, and portfolio managers to align research goals with business objectives and ensure successful strategy implementation. Key Requirements 5+ years of hands-on quantitative research experience with a proven record of live deployment. Hold a Bachelors, Masters, or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, or Financial Engineering from a top-tier institute. Proficient in programming languages like Python, R, or C++. Experience in Indian Markets and MFT. Experience with MFT strategies in Delta 1 and Options, particularly arbitrage or market making.