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DataArt:

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Participate in and lead Requirements Management process for most of ... OMS/PMS: Macgregor, Charles River, Eze Castle, Alladin, Beauchamp, Tradar, Sophis ... – PowerPoint PPT presentation

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Title: DataArt:


1
DataArt Capital Markets Case Studies
2
Elaborate on your experience in business
analysis, user requirements analysis, design and
development of such systems.
Very Strong
Very Strong
Moderate
Strong
Strong
Very Strong
Exceptional
Strong
Very Strong
Very Strong
Moderate
Moderate
3
Primary Areas of Buy-Side Expertise
Functional View
Asset Management (including Alternative Asset
Management)
4
Fund Accounting
  • Client Large Financial ISV (client reference
    available under NDA). Project Investor
    Relationship Management System
  • Fund Accounting module in IRM / Fund Profiling
    solution
  • Advanced hierarchical structure of investors
    accounting information. Tracking balance and
    performance data at custodian, fund, subscription
    level.
  • Series accounting, profit allocations, roll-ups
  • Contributions, withdrawals, transfers
  • Liquidity analysis, what-if scenarios, stress
    testing
  • 50 standard reports
  • Integration With Third-Party Accounting Systems
  • VPM
  • Advent Geneva
  • Advent Partners
  • SSC AdvisorWare

5
Benchmarking
  • Clients Multiple (both Hedge Funds directly and
    a product for an ISV)
  • Projects Investor Relationship Management System
    (fund performance / investor reporting modules)
  • Fund Performance data
  • Based on time series of NAV (returns) of fund
    (products) and benchmarks (market indices) we can
    provide analytical information for fund
    performance.
  • Performance data - Historical and analytical
    data, Graphs with comparison of the fund data and
    more than 8 market indices, Classical statistical
    functions Distribution, Alpha, Volatility,
    Correlation and Sharpe, Rolling by 12, 24, 36
    months, Cumulative performance quarter, 1 year,
    3 years and 5 years comparison, Performance
    reports
  • Fund performance management - Fund performance
    analysis against indices such as CSFB/Tremont,
    Dynamic reports with charting support, Market
    comparison, Historical data import and analysis
  • Integration - Automatic Bloomberg data feeds for
    benchmark indices, External websites information
    retrieval, Corporate website integration, secure
    investor reporting

6
Benchmarking (continued)
  • Individual Investor Performance
  • Analyzing investor transactions is possible to
    evaluate individual performance and provide
    comparison with the fund (product) or benchmark
    performance.
  • Overall investor performance
  • Investor performance by products
  • Investor performance comparison with benchmark
  • Individual performance analytics
  • Correlations
  • Drawdown
  • Growth of dollar

7
Data Interfaces (multiple clients and projects)
  • Integration with major Market data Providers
    (both file-based and real-time)
  • IDC services
  • SIRS
  • IDSI
  • FTS (EXSHARE/EXBOND)
  • Reuters
  • Reuters Market Data System
  • Reuters Data Scope
  • Bloomberg
  • B-Pipe
  • B-Desktop ActiveX
  • Bloomberg Data License (TC bulk load)
  • Integration with popular third-party products
  • OMS/PMS Macgregor, Charles River, Eze Castle,
    Alladin, Beauchamp, Tradar, Sophis
  • Accounding VPM, Geneva, AdvisorWare
  • EMS Inforeach, Portware
  • Analytical packages Imagine, RiskMetrics, Barra,
    Yieldbook, Factset, FMC

8
Data Interfaces (continued)
  • Integration with major prime brokers (data
    adapters for position, trades and cash
    reconciliation)
  • Bear Sterns (BEST)
  • Morgan Stanley (MSCO)
  • Morgan Stanley SWAP (MSCOOTC)
  • Goldman, Sachs Co. (GSCO)
  • Lehman (LEHM)
  • Lehman Futures (LEHMF)
  • Citibank (CITI)
  • UBS
  • Deutsche Bank (DMG)

9
FIX Protocol
  • Familiar with FIX versions 4.0 through 5.0
    FIXML, ISO 20022
  • We have worked/integrated with several popular
    FIX implementations, including Javelyn (NYFIX),
    B2Bits FixAntenna/FixEdge, FixFlyer for various
    applications.
  • Member of our Advisory Board sits on FIX
    Technical Committee
  • Implemented FIX monitoring/performance management
    tools

10
Technology Client Case Study Front-to-Back
Office Enterprise Solution for Hedge Funds
(client name disguised)
  •  Developed complete front-to-back office
    enterprise solution for hedge funds, including
    cross-asset class order management, Global
    Security Master, portfolio analytics, pricing and
    reporting (excluding only accounting)
  • The solution is available to hedge funds and
    fund administrators as a hosted platform or an
    in-house installation.
  • Solution is adapted by one of the leading prime
    brokers as their base offering to hedge fund
    clients other clients include over 10 fund
    administrators and many multi-billion hedge
    funds.
  • This technology is developed entirely offshore
    with relatively little US-based leadership. While
    many technology vendors use offshore resources
    for parts of their project volume, this is a
    unique story as fast-growing, well-funded ISV
    relied completely on offshore vendor for
    end-to-end IT operations.

Project description
  • Working under leadership of US-based business
    domain experts
  • Technology and architecture decisions are
    done within DataArt's team and approved by the
    client
  • System-based engineering team organization with
    universal functions shared across teams (QA, tech
    writing, service)
  • "Agile" process

Project management 
Client benefits 
  • 40 savings compared with local cost (if client
    were to build its own team)
  • Time saved by engaging an readily available team
    vs hiring own team 9-12 months

Team configuration
  • 30 people, 60 engineering, 20 QA, 20
    technical support

Technology
  • Microsoft platform (.NET, SQL Server 2005),
    Citrix
  • 1.5 years

Timelines 
11
Technology Client Case StudyFund Runner (SSC)
  •  Developed a new generation Investor Relationship
    Management system for hedge funds and a fund
    profiling system for fund of funds. Replaced
    legacy system.
  • System deployed at over 200 asset managers with
    total of more than 250 billion Assets Under
    Management.
  • Product is a true enterprise class system with
    advanced functionality unquestionable leader
    among other competing products.

Project description
  • Multiple priorities had to be managed
    simultaneously re-engineering legacy product,
    supporting existing customers and adding new
    functionality

Project management 
  • 30 savings compare to onsite costs
  • Client did not have inhouse resources to do the
    work necessary
  • Over 1 year time saving if client were to hire
    people to do the work internally

Client benefits 
Team configuration
  • Team of 15 engineers based offsite, periodic
    onsite milestone delivery, implementation and
    integration
  • Working as an extension to the clients RD team
  • Microsoft .Net platform

Technology
  • 2 years

Timelines 
12
Case Study Electronic Trading System with FIX
connectivity
  • Key features
  • Fast and reliable communication with electronic
    brokers
  • Supports of electronic orders to perform ticket
    execution
  • Easy integration with third-party solutions for
    electronic connectivity
  • Flexible support of different versions of FIX
  • Supports common scenarios
  • Standard Electronic Order Routing
  • Staging Order Destination
  • Third-Party Algorithmic Routing
  • Unsolicited Trade Reports
  • Architecture
  • The Electronic Trading is performed through Order
    Management Gateway (OMG) that is connected to a
    FIX Engine. The FIX Engine manages all physical
    FIX connections to various destinations. In terms
    of electronic order routing, OMG works with any
    standard FIX Engine (running separately from
    OMG).
  • Currently, the system supports Appia FIX Engine
    from NYFIX.
  • FIX connectivity could be linked directly with
    various Sell-Side venues, including
  • Direct Market Access (DMA) systems
  • Execution Management Systems (EMS)
  • Alternative Trading Systems (ATS)

13
Case Study Trade Order Management System
Client New York-based Hedge Fund
Integrated Trade Order Management System
Highlights
  • Complex trading workflow
  • Real-time collaboration
  • Portfolio analysis
  • Integration with legacy and external systems
  • Quick response to user requests
  • Modular design, shared components

14
Case Study Multi-source pricing application
(Price Master)
Client New York-based Hedge Fund
Global Enterprise Market Data Repository
Highlights
  • Multi-source architecture
  • Automated pricing rules
  • Advanced UI
  • Data transformation Audit
  • HTTP Crawler for OTC securities
  • Exchange adapter for Prime broker market data
  • Integration with leading market data providers
    Bloomberg, Reuters

15
Case Study ETL and Pricing Data Warehouse
Client New York-based Hedge Fund
Price Master a global enterprise market data
repository which plays a key role in STP data
flow of a financial organization. Its primary
task is to collect instrument prices and other
market data from various data sources, parse it
and using pricing rules provide a final set of
information for downstream systems. Client
Multi-Strategy Hedge Fund with 2bln AUM
  • BUSINESS BENEFITS
  • Single-entry point for all market related data
  • Supports various types of securities and various
    types of market data
  • Pricing rules provide stable and flexible system
    for portfolio pricing
  • Advanced audit and change tracking features
  • HIGHLIGHTS
  • Advanced Data mapping
  • Extraction rules
  • BizTalk as a integrating and mapping software
  • Dynamic Data structure system - XML base schemas
    support

16
Case Study ETL and Pricing Data Warehouse
Client New York-based Hedge Fund
  • .Net C
  • .Net Remoting
  • Web services
  • MS SQL 2000
  • BizTalk Server 2004
  • Infragistics Enterprise suite

17
Case Study ETL and Pricing Data Warehouse
Client New York-based Hedge Fund
  • Various data sources
  • System prioritization and pricing rules
  • Support for multiple types of securities
  • Flexible architecture provides ability to easily
    add new types of source data
  • Unified data management and conflict resolution
    systems
  • Highly customizable UI
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