Resume
Aryaan Atul Bhatia
Actuarial Science · Data Science · Quantitative Analytics · Enterprise Technology
📍 Sydney, Australia
📧 aryaan.b.work@gmail.com · 🔗 LinkedIn · 💻 GitHub
👤 Professional Profile
Multidisciplinary quantitative professional combining actuarial science, data science, mathematics, and enterprise technology.
Experienced in building mathematical models, statistical systems, and data platforms that translate complex quantitative insights into real-world business, financial, and technology outcomes.
Comfortable operating across research, modelling, engineering, finance, and enterprise environments, with a strong focus on structured thinking, risk-aware design, and systems-level problem solving.
Core identity: quantitative systems thinker
Domains: actuarial · data science · analytics · cloud · finance · enterprise systems · commercial strategy
🎓 Education
University of New South Wales (UNSW), Sydney
Bachelor of Actuarial Studies & Computer Science (Artificial Intelligence)
- Actuarial science foundation
- Statistical modelling, probability theory, and stochastic processes
- Artificial intelligence and machine learning systems
- Data structures, algorithms, and systems design
Penrith Selective High School, NSW
💼 Professional Experience
Aristocrat — Statistical Analyst / Game Mathematician
Macquarie Park, NSW · Sep 2024 – Present
- Designed and deployed mathematical models and simulations in C/C++ to solve complex product design and risk problems
- Applied statistical analysis and constraint-based modelling to ensure regulatory compliance while maximising performance and scalability
- Built automation tools and analytical workflows, reducing manual processes and improving delivery efficiency
- Partnered with product, compliance, and engineering teams to translate technical constraints into business-ready decisions
- Led competitive analysis and product strategy sessions using quantitative benchmarking
Vinva Investment Management — Quantitative Research Intern
Sydney CBD · Jun 2024 – Sep 2024
- Ingested, cleaned, and integrated ESG datasets using Python and SQL into internal investment systems
- Designed and executed statistical event studies using time series analysis and regression models
- Supported alpha-generation research and portfolio signal development
- Performed exploratory data analysis and market research to support investment strategy
Macquarie Group — Quantitative Research Intern
Sydney CBD · Dec 2023 – Jun 2024
- Conducted quantitative market research on M&A activity to identify potential takeover targets and return distributions
- Built data-driven stock screens, portfolio risk assessments, and investment signals
- Supported institutional clients and super funds through evidence-based analytics
- Contributed to the Monthly Abstract Monitor research publication
Alchemist Capital — Investment Banking Intern Analyst
Sydney CBD · Mar 2023 – Dec 2023
- Built financial models including DCF, LBO, and comparable analysis for M&A and venture transactions
- Structured deals with founders and investors to accelerate pipeline execution
- Supported preparation of pitch decks and information memorandums for large-scale transactions
4 Mile — Sales Development Representative
North Strathfield, NSW · Sep 2022 – Apr 2023
- Executed high-volume outbound prospecting across multiple industries and stakeholder profiles
- Conducted structured discovery to identify customer needs, process gaps, and decision criteria
- Qualified inbound and outbound leads through analytical questioning frameworks
- Delivered value-based messaging aligned to customer business problems
- Maintained pipeline tracking and performance reporting using CRM systems
- Developed strong commercial communication, objection handling, and stakeholder engagement capability
🧠 Technical & Analytical Skills
Quantitative & Actuarial
- Probability theory
- Statistical modelling
- Risk modelling
- Simulation systems
- Stochastic processes
- Financial mathematics
Data Science & Analytics
- Python, R, SQL
- Machine learning & AI systems
- NLP pipelines
- Time series analysis
- Regression modelling
- Data engineering
- Data pipelines & automation
Software & Systems
- C, C++, Python
- System architecture
- Algorithmic design
- Automation tooling
- Git & version control
Enterprise & Applied Domains
- Enterprise platforms
- Cloud systems
- Financial systems
- Superannuation
- ESG analytics
- Regulatory modelling
- Commercial systems thinking
🛠️ Selected Projects
Climate & Energy Jobs Intelligence Platform
- Built a large-scale labour market analytics system
- Designed dual ingestion pipelines: manual + automated web scraping
- Integrated NLP classification with SQL backend infrastructure
- Focus: market analytics, structured classification, trend modelling
Risk & Simulation Modelling Systems
- Built probabilistic simulation engines for stochastic systems
- Developed statistical validation frameworks
- Focus: uncertainty modelling, variance analysis, risk systems
🏆 Achievements & Leadership
- Delivered production-grade quantitative models and analytical systems
- Built full-stack data platforms for real-world industry use
- Recognised for strong quantitative reasoning and systems thinking
- Led data-driven product strategy and modelling initiatives
- Mentored peers across technical, analytical, and commercial domains
🌱 Interests
- Actuarial science & insurance systems
- Data science & AI
- Risk modelling
- Quantitative finance
- Cloud computing
- Systems engineering
- Applied research
- Enterprise transformation
- Continuous learning