Capital Markets · Data & Analytics · Transformation

Building better platforms for better decisions.

I work at the intersection of capital markets, data and technology, building and modernising analytics platforms that support risk, investment and business decisions.

Over 10 years across equity risk, enterprise reporting, analytics platforms and transformation, now complemented by front-office Quantitative Investment Strategies experience.

Portrait of Darshana Anandi

About

From engineering foundations to transformation leadership.

My career began in platform automation and software delivery, where I developed the engineering discipline to understand how technology moves reliably from development into production.

In 2018, I moved from Mumbai to Budapest and began a new chapter at Morgan Stanley. There, my work evolved from deep KDB+/Q and equity risk analytics into delivery governance, stakeholder leadership, enterprise reporting, analytics platform strategy and broader transformation responsibilities.

A period of deliberate professional development followed, deepening my understanding of quantitative finance, artificial intelligence and leadership while giving me hands-on experience building independently outside a large institution.

Today, at Phi Partners, I am bringing that experience into a front-office Quantitative Investment Strategies environment, continuing to expand my understanding of how investment research, analytics and data platforms connect.

The thread across the journey is simple: build strong foundations, understand the problem deeply, broaden the perspective, and make technology create meaningful value.

Financial district at dawn

Journey

Built through depth, change and deliberate growth.

My career has evolved across technology, capital markets, countries and increasingly broader responsibilities. Each chapter has added a different dimension: engineering discipline, market knowledge, enterprise perspective, adaptability, ownership and a stronger understanding of how technology creates value.

  1. 8 June 2026 — Present
    Budapest, Hungary
    PHIPhi Partners

    Senior KDB Engineer, Quantitative Investment Strategies

    Expanding into Front-Office QIS

    My current chapter is bringing my capital markets technology experience closer to front-office investment analytics.

    At Phi Partners, I support a major global investment bank's Quantitative Investment Strategies environment at the intersection of front-office analytics, capital markets data platforms, quantitative research infrastructure and analytics modernisation.

    Working across Equities and Cross-Asset initiatives is expanding my understanding of how quantitative research, analytics and data infrastructure connect, while giving me a new environment in which to build credibility, learn and contribute.

    QIS · Front-Office Analytics · KDB+/Q · Python/PyKX · Data Platforms · Equities & Cross-Asset

    What this is developing

    Front-office perspective · QIS domain breadth · Adaptability · Stakeholder collaboration

  2. July 2025 — May 2026
    Budapest, Hungary
    Professional Development

    Capital Markets · AI · Leadership

    A Deliberate Period of Reinvention

    Following Morgan Stanley, I deliberately used this transition period to broaden the capabilities I wanted to bring into the next stage of my career.

    I deepened my knowledge of quantitative finance, explored AI-enabled analytics and decision intelligence, invested in leadership development, and gained hands-on entrepreneurial experience outside a large institutional environment.

    More importantly, the period strengthened capabilities that are difficult to capture through credentials alone: learning independently, navigating uncertainty, making decisions without perfect information and creating momentum without an established structure around me.

    Quantitative Finance

    Focused learning across Quant Finance Bootcamp, Python for Quantitative Finance, Linear Algebra for Quantitative Finance, Derivatives, Risk Management and Quantitative Modelling.

    AI & Decision Intelligence

    Focused learning and practical exploration across AI Agents, Prompt Engineering, AI-enabled Analytics and Decision Intelligence.

    Mentor, LeadWithAIAgents Hackathon, GenAI Works

    Leadership

    Development across Leadership & Decision-Making, Strategic Thinking, Executive Communication, and Influence & Personal Leadership.

    Entrepreneurship

    Built an independent venture outside financial services, gaining hands-on experience in ownership, product thinking, customer experience, commercial decisions and execution.

    Independent venture: ILU Atelier

    What this developed

    Learning agility · Ownership · Commercial perspective · Comfort with uncertainty

  3. 30 September 2018 — 27 June 2025
    Budapest, Hungary
    MSMorgan Stanley

    From Risk Analytics Engineering to Platform Transformation

    Morgan Stanley was where my career moved decisively into Capital Markets.

    Across almost seven years, my scope evolved from hands-on equity risk analytics and KDB+/Q engineering into delivery governance, stakeholder leadership, enterprise reporting, analytics platform strategy and broader transformation responsibilities.

    012024 — 2025
    Director P3
    Equity Risk Analytics & Platform Strategy

    I learned to think beyond individual systems and toward transformation.

    My responsibilities broadened across equity risk analytics, enterprise reporting and analytics platform modernisation supporting global capital markets stakeholders.

    The work increasingly required connecting business priorities, risk requirements, technology dependencies, governance and adoption, shifting my perspective from solving individual engineering problems toward improving how analytics capabilities operate across the organisation.

    Selected evidence
    30%
    Delivery productivity improvement

    Improved delivery productivity through modernisation of legacy analytics pipelines, dependency-driven workflows and stronger execution practices.

    40%
    Increase in analytics adoption

    Expanded adoption through cross-functional collaboration and improvements to risk data and reporting capabilities.

    DataZone + Python/PyKX
    Analytics accessibility

    Enabled KDB+ analytics consumption through Python/PyKX ecosystems, broadening access to risk and scenario data.

    What this developed

    Enterprise perspective · Platform strategy · Cross-functional leadership · Transformation thinking

    022023 — 2024
    Associate Professional
    Delivery Governance & Agile Leadership

    I learned that delivery problems are often people and coordination problems.

    My scope expanded beyond engineering into delivery governance, stakeholder alignment and team execution.

    Operating as a de facto Scrum Master and Delivery Governance Lead, I worked across Product, Risk, Finance and Engineering to improve execution discipline, make dependencies visible and enable greater team autonomy.

    Selected evidence
    40%
    Sprint throughput improvement

    Improved sprint throughput through stronger governance, Agile leadership and stakeholder alignment.

    18+
    Team members

    Enabled more decentralised decision-making and collaborative problem-solving across analytics delivery.

    What this developed

    Influence without authority · Delivery governance · Team enablement · Stakeholder alignment

    032018 — 2023
    Associate Professional Functional Developer
    Risk Analytics Platforms

    I learned capital markets from inside the systems.

    Working across enterprise equity risk and derivatives analytics gave me deep exposure to the infrastructure behind risk reporting and capital markets data workflows.

    I worked with KDB+/Q, Python, Jenkins and high-performance data environments across PnL attribution, FVM, CCAR, exotic options and position analytics.

    Over time, the work expanded beyond individual analytics into platform scalability, deployment governance, cloud exploration and modernisation.

    Selected evidence
    300GB → 500GB
    Platform capacity

    Led storage migration scaling platform capacity from approximately 300GB to 500GB of daily market and risk data.

    Zero disruption
    NPV swap model migration

    Designed production-parallel architecture supporting zero-disruption migration of NPV swap valuation models.

    CI/CD automation
    Release reliability

    Built CI/CD automation improving release reliability across UAT, QA, PPQA and production environments.

    KDB+ to AWS
    Cloud proof-of-concept

    Contributed to a KDB+ to AWS proof-of-concept exploring cloud scalability and potential operational efficiencies.

    What this developed

    Capital markets depth · Risk analytics · Platform engineering · Production discipline

    Client Focus · Execution Excellence · Operational Excellence recognition

  4. 16 September 2018
    Mumbai, India → Budapest, Hungary
    International Career

    Building a Career Across Borders

    MumbaiBudapest

    Moving from Mumbai to Budapest marked the beginning of my international career.

    Navigating a new country, professional environment and culture independently required me to adapt quickly, understand unfamiliar systems and build a new professional life from the ground up.

    Two weeks later, I began the next major chapter of my career at Morgan Stanley.

    The experience strengthened my confidence operating outside familiar environments and shaped the adaptability I continue to bring to new roles, teams and challenges.

    What this developed

    Independence · Adaptability · Cross-cultural perspective · Resilience

  5. 22 September 2015 — 10 August 2018
    Mumbai, India
    DXCDXC Technology

    Associate Professional Product Developer

    Platform Automation & Delivery

    Building the Foundations of Automation & Delivery

    My professional career began in platform automation and software delivery.

    At DXC Technology, I worked across development and deployment workflows supporting enterprise insurance platforms, building hands-on experience in CI/CD, release automation, cloud deployment and production reliability.

    I automated build and deployment workflows across Linux, Windows and AWS, helped modernise version control from SVN to Git, and developed automation around deployment, backup and database operations.

    This chapter taught me to look beyond individual code changes and understand the systems, processes and controls required to move technology reliably from development into production.

    Selected evidence
    Under 20 minutes
    Deployment time

    Automated multi-platform build and deployment workflows, reducing deployment time from several hours to under 20 minutes.

    SVN → Git
    Version control modernisation

    Led migration from SVN to Git, improving collaboration, governance and version-control traceability.

    AWS
    Deployment & automation

    Implemented AWS-based deployment and backup solutions and helped standardise CI/CD practices across Java-based applications.

    Database automation
    Operational reliability

    Designed automation scripts improving reliability of backup, refresh and restore processes across production environments.

    What this developed

    Automation mindset · Engineering discipline · Delivery reliability · DevOps foundations

    Result-Oriented Performance Recognition · Innovation Recognition for Automated Database Tool

  6. 2012 — 2015
    Mumbai, India
    Master of Computer Applications (MCA)

    Computer Applications

    Veermata Jijabai Technological Institute (VJTI)

    Deepening the Technical Foundation

    Formal study in computer applications strengthened the technical foundation that would later support a career across software delivery, data platforms and financial technology.

    What this developed

    Technical foundation · Analytical thinking · Software discipline

  7. 2009 — 2012
    Mumbai, India
    Bachelor of Science (B.Sc.)

    Information Technology

    Swami Vivekanand Education Society's College of Arts, Science & Commerce

    Where the Journey Began

    An early foundation in information technology that began the path toward software engineering, data and technology.

    What this developed

    Curiosity · Technology foundations · Problem solving

Continuous learningQuantitative Finance · Artificial Intelligence · Leadership · Emerging Technology

Expertise

Where capital markets, technology and transformation meet.

My experience sits at the intersection of capital markets, analytics platforms, data and technology delivery, with a growing focus on how these capabilities can be modernised to support better decisions.

01

Capital Markets Technology Transformation

Connecting business priorities, technology capabilities and delivery to modernise complex capital-markets environments.

02

Analytics Platforms

Designing and evolving analytics platforms that balance scalability, performance, accessibility and operational reliability.

03

Risk Data & Enterprise Reporting

Understanding the data, lineage, controls and reporting foundations required to support risk, governance and decision-making.

04

Front-Office Analytics

Experience across analytics environments supporting quantitative research, investment strategies and front-office data workflows.

05

AI-enabled Financial Services

Exploring how Generative AI, AI agents and advanced analytics can be applied responsibly within regulated financial environments.

06

Cross-functional Leadership & Strategic Delivery

Bringing together technology, business stakeholders and delivery teams to create alignment, improve execution and move complex initiatives forward.

Perspectives

Ideas on markets, transformation, leadership and decision-making.

01

Leadence

Perspectives on leadership, influence, clarity, trust and creating movement beyond formal authority.

Explore on Medium →
02

Decivue

Perspectives on decision intelligence, data, technology and AI across Capital Markets.

Explore on Medium →
03

Capital Markets Perspectives

Professional perspectives on Capital Markets, technology, data and transformation.

Explore on Medium →

Connect

Open to conversations that move ideas forward.

I am based in Budapest, Hungary, and open to international relocation for the right opportunity.

Hungary

Permanent Residence

Open to relocation

Ireland · UK · Netherlands · Switzerland