Aditi Srivastava

• Developed and Maintained an enterprise Python-based automation framework for Last Look monitoring across all asset classes, supporting Citi Disclosures and regulatory compliance.
• Established centralized monitoring and reporting frameworks to enhance operational efficiency and transparency, leveraging enterprise data platforms Dataflame and Airflow-based orchestration to deliver controlled, auditable reporting for all Compliance Reports.
• Partnered with Markets and business stakeholders to ensure the completeness, accuracy, and governance of Last Look reporting, and presented insights and outcomes in formal monthly governance forums to support market conduct oversight.
• Developed interactive analytics dashboards using Python Altair and Vega-lite to analyse trades breaching Price and Notional controls, including cases of trader overrides, enabling enhanced market conduct oversight and risk transparency.
• Optimization of SQL-based data pipelines, enhancing processing speed and reliability to enable accurate, timely reporting and analytics.
• Engineered enterprise-scale monitoring routines in Python for long-sell and short-sell positions across APAC, implementing real-time inventory checks with order lifecycle events to enforce trading limits and maintain markets compliance.
• Collaborate with the E-Trading Compliance team to identify operational pain points and drive automation initiatives, enhancing efficiency, reducing manual processes, and strengthening control and compliance across trading processes.

• Big Data Query and Extraction using Pyspark, SQL
• Data Analysis and Data Engineering
• Implementing Scalable Time series forecasting models (Auto- ARIMA, FB Prophet, SARIMAX, Fourier Analysis) for predictions.
• Cross Validation of model using techniques like TimeSeries Split, Rolling Predictions.
• Using MLFlow with Azure Databricks framework to save the model experiments, reload the model from Registry and use for predictions.
• Data collection for training and validation, Model Hyperparameter tuning to achieve acceptable Model Recall.
• Constant reading the research papers to keep myself abreast of new techniques.
• Model Serving using Flask API.
• Cloud Infra deployment pipeline using ARM and Terraform Templates and GitOps.
• Setting up Azure Kubernetes services for deployment cloud native application.
• Setting up Managed Identity, Istio Service Mesh, Ingress Controllers.
• Secrets Management using Hashicorp Enterprise Vault Agent (EVA)
• Setting up PostgreSQL Database, optimization of queries for Tableau reporting.

Implementation of ETL layer using Informatica and Custom Perl scripts.

Writing SQL Procedures and optimization of queries on Sybase DB.

Technical Design and Development of TLM reconciliations.

Leading and providing technical guidance the team.

Capacity calculations and prioritization within the team.

Identifying risks associated with existing processes and implementing mitigation plans.

Ensuring Compliance in External Audits.

• Provide Infrastructure for Quality Analysis.
• Automated installation of Oracle Enterprise Manager Grid Control on Linux platform using DTE tool.
• Creation and maintenance of Topologies for setting up the QA environment.

• Module Lead for development and maintenance of xDSLIP Test tool.
• Defect fixing of code in C++, PL/SQL.
• Development of Harness testing tool for Fault Diagnosis Application using Perl Scripting.