Sriram G.

Business Development Executive

Thrissur, Kerala, India2 yrs 5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Achieved 90% resolution rate for EMEA clients at Moody's Analytics.
  • Developed machine learning tools improving accuracy by 20%.
  • Managed over 150 client cases in financial risk management.
Stackforce AI infers this person is a Fintech professional with strong expertise in risk management and data analysis.

Contact

Skills

Core Skills

Credit Risk ManagementRisk AnalysisProgrammingSoftware DevelopmentData AnalysisMachine LearningAudit And AssuranceData ManagementThermal Design EngineeringStructural Analysis

Other Skills

Algorithmic TradingAnalytical SkillsArtificial Intelligence (AI)Bloomberg TerminalBusiness ModelingCC (Programming Language)Communication SkillsCounterparty RiskDatastreamDockerGitLaTeXLinuxMicrosoft Excel

About

I am a motivated analytics professional with over 3 years of experience in financial risk management, data analysis, and product consulting. My expertise spans credit risk methodologies, Basel III/IV capital calculations, and regulatory reporting. Throughout my career, I have applied advanced programming skills in Python, SQL, R, and VBA to develop solutions that enhance product functionality and automate complex processes. In my recent role at Moody’s Analytics, I successfully managed over 150 cases for EMEA clients, achieving a 90% resolution rate, and collaborated with product teams to implement over 30 bug fixes, improving overall system performance. With a strong academic foundation in Financial Mathematics (MSc) and Mechanical Engineering (Dual Degree from IIT Madras), I aim to continue driving innovation and delivering impactful results in the financial services sector. My goal is to leverage my problem-solving skills, risk management knowledge, and technical expertise to contribute to a forward-thinking organization focused on financial technology, risk analytics, and process optimization.

Experience

Moody's analytics

Client Service Specialist

Apr 2023Sep 2024 · 1 yr 5 mos · Manchester Area, United Kingdom

  • Designed and implemented functional solutions for clients across the EMEA
  • region using Moody’s Credit and Liquidity Risk products.
  • Applied expertise in credit and liquidity risk methodologies (STD, F/A-IRB, SA-CCR) and
  • Basel III regulatory capital calculations to provide recommendations and
  • improvements for client cases.
  • Partnered with the product management team and colleagues to identify and
  • address bugs, and to enhance overall product functionality.
Problem SolvingRisk AnalysisSQLCredit Risk ManagementCounterparty Risk

Kanigam llp

Software Engineer

Feb 2021Mar 2021 · 1 mo · Chennai, Tamil Nadu, India · Hybrid

  • Kanigam LLP is a software tech start-up founded in 2016 which provides data driven products and technical expertise for clients world-wide. Was part of a team responsible for developing an application to help the UAE government’s health force recruit clinician staff and tackle COVID-19.
  • Deliverables
  • Contributed to the software backend development and deployment using the frameworks Pydantic    and SQL Alchemy and the software platform, Docker.
  • Used FASTAPI web development framework to build and run test programmes to progress towards    actual application development.
  • Debugged and revised code with Git version control and collaborated with team members using    GitLab to complete associated tasks.
Problem SolvingDockerSQLProgrammingGitPython (Programming Language)+1

Qdexi technology

Project Analyst

Mar 2020Jul 2020 · 4 mos · Bengaluru, Karnataka, India

  • QDexi Global Solutions is an IT solutions company offering services in custom application development, application management outsourcing, consulting, and system integration. Hired to provide technical and business solutions for clients in the Healthcare, IT and Finance sectors.
  • Accomplishments
  • Worked on more than 6 data analysis and application development projects, all completed within the    agreed timelines.
  • Created an R-based machine learning tool to detect email malware using supervised classification    algorithms, then over following 7 days, improved its accuracy by 20% through subsequent debugging    and troubleshooting.
  • To understand customer purchasing, analysed 10-years of purchase data from a digital music store    database having coded SQL queries to import data from SQLite server and presented key insights and    purchase trends.
  • Developed a Python programme to count instances of key corporate action words in news articles    fetched from ‘Google News’ website to examine and identify market trends.
TableauProblem SolvingMicrosoft ExcelVisual Basic for Applications (VBA)RCommunication Skills+6

Deloitte ireland

Audit Analyst

Feb 2019May 2019 · 3 mos · County Dublin, Ireland · On-site

  • Deloitte is an international professional services network and the largest of its kind in the world providing audit and assurance, consulting, financial advisory, risk advisory, tax, and related services. Worked with internal audit and assurance team to help verify and reconcile audit data before being sent to higher management.
  • Role Highlights
  • Examined and compared Income statements prepared by accounts team with the data retrieved by    the audit team using Excel functions to ensure 100% accuracy.
  • Troubleshooted Dividend Income data retrieval VBA programme for errors, added features to scrape    data from other web sources.
  • Modified existing Excel dashboards to append more functions and speed up data analysis.
  • Provided daily updates to manager and documented weekly results for internal client approval.
Microsoft ExcelVisual Basic for Applications (VBA)Audit and Assurance

Moody's analytics knowledge services

Associate

Jul 2017Jul 2018 · 1 yr · Bengaluru Area, India · On-site

  • Moody's Analytics is a subsidiary of Moody's Corporation, a billion-dollar financial services and credit ratings provider which focuses on non-rating activities, like economic research, consulting, and software services. Worked with offshore team to manage US based client’s fixed income hedge fund portfolio.
  • Notable Highlights
  • Inspected and checked reference database security fields for missing data and data quality.
  • Reduced time spent to compile and check large volumes of data by automating manual data    inspection tasks in VBA.
  • Debugged and reviewed over 800 lines of code and optimized the application for speed and    functionality.
  • Reconciled client’s fixed income capital structure by referring the S&P Capital website and Bloomberg    terminal, producing daily reports highlighting changes made and discrepancies found.
Bloomberg TerminalMicrosoft ExcelVisual Basic for Applications (VBA)TeamworkCommunication SkillsData Management

Serck global

Thermal Design Engineer

Dec 2013Jan 2014 · 1 mo · Sharjah, United Arab Emirates · On-site

  • Serck Service International is part of the Unipart Group, a major international logistics, supply chain and manufacturing company in the UK, and specialises in supplying heat transfer technologies world-wide. Worked on modelling a plate and bar oil cooler to compute manufacturing parameters.
  • Key Accomplishments
  • Modelled the design of a Plate and Bar Oil Cooler using Excel Sheets and functions to automate and    reduce time to evaluate thermal parameters.
  • Tested functionalities on sample and real dataset, troubleshooted and modified the template to    improve speed and functionalities.
  • Troubleshooted for errors and modified the existing 300 line C program used to compute design    parameters to optimize speed.
  • Demonstrated template and results to manager, subsequently approved for delivery to higher    management.
Problem SolvingMicrosoft ExcelCC (Programming Language)Thermal Design Engineering

Ashok leyland

Test Engineer

Apr 2012Jul 2012 · 3 mos · Chennai, Tamil Nadu, India · On-site

  • Ashok Leyland is an Indian multinational automotive company and one of the largest manufacturers of buses, trucks, and commercial vehicles in the world. Worked in the R&D section to analyse truck components for structural integrity and propose the optimal model for deployment.
  • Major Highlights
  • Modelled a truck bed plate vibrator in the component test laboratory using CATIA software suite and    carried out structural analysis and loading tests to ensure quality control.
  • Involved in a live 6-month project to perform stress analysis of 3 different tail door mechanisms in    trucks. Visited local quarry sites to carry out surveys and to understand customer requirements.
  • Conducted a Quality Function Deployment Analysis using the collected data in Excel and converted    them to corresponding quantitative characteristics in the tail doors.
  • Simulated Finite Element Stress/Strain models under both static and dynamic loading using Ansys    software for the tail door models and selected the most structurally feasible model.
  • Documented and demonstrated results to delivery manager for further tests and the ensuing    implementation.
Problem SolvingNumerical AbilityBusiness ModelingStructural Analysis

Education

Bayes Business School

MSc — Financial Mathematics

Sep 2021Oct 2022

Technological University Dublin

BSc (Ord) — Mathematical Sciences

Jan 2018Jan 2019

Indian Institute of Technology, Madras

Master of Technology - MTech — Mechanical Engineering

Jan 2013Jan 2015

Indian Institute of Technology, Madras

Bachelor of Technology - BTech — Mechanical Engineering

Jan 2009Jan 2013

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