Finance One (F1)
Technology: Cloudera, Spark, Kafka, Machine Learning, Scala, Microservices
Finance Data Lake providing centralized data services and an intelligent data layer that enables business teams to run various application workloads (batch, streaming, reporting, forecasting etc.)
Smart Reconciliation
Technology: Cloudera, Spark, Machine Learning, Graph Analysis, Scala
Replace rules-engine based trade reconciliations to adjust discords between front office and back office systems with a model that learns to match transactions.
Application
Technology: React, Spring Boot, Cloudera, REST
Provide business user onboarding engagement portal use cases
Hadoop Cluster Management
Technology: Cloudera, Spark, Kakfa, Python
Provide engineering expertise to install, configure, monitor, and plan expansion of Hadoop, Spark, and Kafka clusters
Value at Risk (VaR)
Technology: Cloudera, Spark, Tableau, Scala
Distributed and massive parallel processing framework to compute portfolio risk scenarios (Monte Carlo) and valuations.
Threat Analysis
Technology: Hadoop, Spark, NLP-BERT, Python
Automate analysis of security alert and escalation emails to classify manual intervention or standard resolution procedures.
Data Management Platform
Technology: Cloudera, Spark, Kafka, Microservices, Scala, Java
Provide an on-demand Risk calculation Engine for Business Risk and Finance teams using central Data Services to onboard, analyze, and visualize business risk and exposure metrics
Liquidity Forecasting
Technology: Deep Learning, TensorFlow, ARIMA, Python
Forecast future loans and deposits to optimize use of capital and meet regulatory requirements. The neural network model improves accuracy over expert models and ARIMA
Treasury Reporting
Technology: Cloudera, Spark, Scala, Python
Risk engine to calculate liquidity exposure using bank positions and cash flows. Execute stress scenarios to and provide T+1 reports to assess and maintain regulatory liquidity requirements
Collateral Optimization
Technology: Cloudera, Spark, Machine learning, Linear Optimization
Optimize collateral assets to support funding and trading needs of various business desks with a goal to minimize cost, maximize liquidity, and minimize funding costs.
HQLA Trading, DCM Loans
Technology: Blockchain, Distributed Ledger, Corda, Kotin
CORDA DApp for Straight through processing of HQLA (High quality Liquid assets) trades by exchanging ownership and managing transactions.
LIBOR - Automated Contract Processing
Technology: NLP Transformers, Google AutoML, Elasticsearch, GKE, Cloud Storage
Automate and accelerate contract review by legal and finance teams for LIBOR benchmark rate transition.