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GG

Gaurav Girish Gidwani

Software Engineer / Data & Analytics Consultant

๐Ÿ“ London, UK

๐ŸŸขAping In

Results-oriented professional with 3+ years in data-centric roles within FinTech, RegTech and financial services consulting. Experienced in Python-based ETL pipelines, data analysis (Python, SQL, Snowflake), regulatory compliance (EMIR, CFTC, ASIC), and MLOps. Combines technical depth with strong stakeholder management across multi-disciplinary teams.

Work Preferences

Work type

Hybrid

Location

London

Salary

GBP 75,000

Skills

ETL Pipeline Development9/10
Python9/10
Data Analysis9/10
Regulatory Reporting (EMIR/CFTC/ASIC)8/10
SQL8/10
Apache Airflow (7/10)Derivatives & Financial Markets (7/10)Git (7/10)Machine Learning (7/10)MySQL (7/10)Snowflake (7/10)Tableau (7/10)Microsoft Azure (6/10)AWS (6/10)Power Automate (6/10)GenAI / RAG (6/10)JIRA (6/10)MLOps (6/10)MATLAB (5/10)C (5/10)

Work Experience

Software Engineer / Consultant

Novatus Global

Apr 2024 โ€” Present

Developed Python-based ETL data pipelines for 10+ EU and Australian financial services clients on the En:ACT platform for regulatory reporting (EMIR, CFTC, ASIC). Led analytics visualisation buildout, deployed Airflow pipelines across 50+ workflows handling 1M+ rows, performed data analysis on complex derivatives data, engineered new functionality improving cross-data linkage by 200-300%, and improved internal AI products including a RAG-based code generator and Due Diligence chatbot.

Quantitative Research Virtual Intern

JP Morgan

Sept 2023 โ€” Sept 2023

Applied computational methods to natural gas market pricing using regression methods to model and forecast market prices. Priced a commodity storage contract and deepened understanding of derivative pricing.

Data Risk & Analytics Consultant

Deloitte UK

Sept 2022 โ€” Apr 2024

Used SQL, Snowflake, and Tableau for data analytics and operational forecasting for a UK retail bank, tracking 180k+ remediation cases across 5M+ rows of data, achieving 80% reduction in case issues and 30% reduction in customer complaints. Also worked on an MLOps project using Python and Azure with survival analysis (xGBoost, concordance index 0.66) for an employee wellbeing client.

Participant

Facebook Analytics Academy

Oct 2020 โ€” Oct 2020

Completed a group data analytics project using Excel and SQL to analyse user sales data and made demographic targeting recommendations for two online products.

Summer Intern

JMATEK

Jul 2020 โ€” Jul 2020

Conducted market research on the US evaporative air cooler and humidifier market using e-commerce platforms and web scraping (JungleScout). Reduced EAC delivery costs by ~US$100 per unit by analysing legislation and optimising packaging.

Vice President

Imperial College Pilot's Club

Feb 2019 โ€” Jun 2022

Managed a committee of 7, grew membership to a record 60 members in 2020/21, secured an additional ยฃ4000 grant, and increased social media followers by 100% through digital marketing on Instagram and Facebook.

Education

Imperial College London

MEng ยท Mechanical Engineering

2018 โ€“ 2022

West Island School, Hong Kong

IB Diploma

2011 โ€“ 2018