Problem Statements

Acceleration Partners for DAP 2021

EFFICIENT AND SCALABLE NON-STANDARD TRADE MATCHING AND SETTLEMENT

How can non-standardised trades be processed, matched and settled in a quick and accurate manner?

CREATING TRUST IN SUSTAINABLE INVESTING WITH BLOCKCHAIN TECHNOLOGY
How can we use blockchain solutions to better establish the traceability of the companies we invest in? Can we do this in a way to confirm sustainability aspects within the value chain?
Digital ESG Reporting Tool For Asset Management Firms

How can we have consistent and up-to-date measurements of ESG standards and requirements to better equip asset managers to – visibly and with impact – incorporate ESG considerations in to investment programs and portfolios?

Automated Form Filing Workflow and Data Management for Asset Management

How can we have automate the form-filling process for asset management firms in a more accurate and efficient manner?

Streamline Risk Assessment Process To Allow for Outsourced Services

How might we better streamline the process to conduct risk assessment of outsourced vendors, to provide a robust platform for internal management of outsourced services while ensuring compliance to outsourcing regulation?

Automated data parsing, extraction and analysis tool for asset management

How might we create a smart document parser to streamline and enhance the process of information extraction and analysis for the financial analysts?

Acceleration Partners for DAP 2020

Financial Regulatory Change Management Process Intelligent System

How might we more effectively and confidently scan the regulatory environment to identify change and assess its impact, and efficiently manage change to ensure compliance in our businesses across all the jurisdictions we operate in?

Investment Management & Investment Recommendation Solution For Portfolio Managers and Analysts

How can non-standardised trades be processed, matched and settled in a quick and accurate manner?

Data Analytics to Identify Opportunities for Developing Better Financial and Non-Financial Offerings
How might we use data analytics to better understand our customers so we can develop financial and non-financial offerings that will not only address their current and emerging needs but to also enhance our engagement with them in their investment decision journey?
Automated Reporting of Environmental, Social and Governance Performance

How might we automate the production of ESG performance reports using our current data sources, providing compelling and salient reports for our clients?

Optimise Institutional Client On-boarding Process

How might we more efficiently on-board institutional customers, both in Singapore and abroad, so that we can confidently and legally begin to service them?

Data-driven Environmental Social Governance (ESG) Assessment for Sustainable Investing

How can we use technology to better quantify sustainable (ESG) impact of a portfolio?

Gamification for Better Investment Decisions

How might we utilise a gaming platform to build investment knowledge and learn the basic principles of investing for retail investors for better and well-informed investment decisions?

Digital Platform To Facilitate Investment of Non-Traditional Funds Assets for Individual Investors

How might portfolio managers make more informed investment decisions by bridging both internal and external data in a structured and unstructured context, with a user-friendly assessment framework?

Holistic Stock Assessment through Integrated Use of Internal and External Knowledge

How might we better streamline the process to conduct risk assessment of outsourced vendors, to provide a robust platform for internal management of outsourced services while ensuring compliance to outsourcing regulation?

Analytics and Insights to Improve Efficiency of Internal Business & Operational Processes

How might we improve our internal processes and derive relevant insights, particularly through utilising our data, in order to operate more effectively and efficiently?



Acceleration Partners for DAP 2019

Problem Statement

How might we use technology in a cost competitive manner so that we can better predict, monitor and manage an Asset Management Company’s internal and external obligations to regulatory changes globally?How might we obtain real-time, customizable updates and analysis on new and revised compliance, regulatory and tax requirements globally?

Problem Statement 1
How could we use technology to monitor, predict and understand drivers of risk and performance so that we can proactively manage in a rapidly changing market?
Context
Evolving investment strategies such as ETFs / ESG factor / Smart Factor are demanding greater data points, analysis and reporting options. As an example, two areas requiring greater analysis are a) the disappearance of the index effect in large & mid cap stocks and b) liquidity repercussions for stocks more closely held and over a long-term horizon by ESG investors.
Terms
ETF: Exchange Traded Fund ESG: Environmental, Social and Governance Smart Factor Strategies
Problem Statement 2
How might we leverage evolved data models, analytics and reporting methodologies to deliver ETF / ESG / Smart Factor strategies?
Context
Evolving investment strategies such as ETFs / ESG factor / Smart Factor are demanding greater data points, analysis and reporting options. As an example, two areas requiring greater analysis are a) the disappearance of the index effect in large & mid cap stocks and b) liquidity repercussions for stocks more closely held and over a long-term horizon by ESG investors
Terms
ETF: Exchange Traded Fund ESG: Environmental, Social and Governance Smart Factor Strategies
Problem Statement 3
How could we leverage technology to integrate various exposures to solve operational issues (such as handling multiple platforms) and measure counterparty risk accurately?
Context
Currently, collateral management arising from OTC derivatives tend to sit on multiple platforms. OTC: Over-the-counter (OTC) derivatives are contracts that are traded (and privately negotiated) directly globally? How two parties, without going through an exchange or other intermediary.
Problem Statement 1

How might we use collect and capture data electronically and use it as a proxy for economic growth such as sales, inflation and shipping activity?

How could we leverage data from satellite analysis to provide a measure of economic activity (with a focus on emerging countries and Asia) and actionable insights?

How could alternative data (e.g. credit card transactions, hotel/airline billing, digital identity) be used to measure sector performance (e.g. tourism, retail spending)?

Context

Official economic data statistics (especially in emerging countries) may be of poor quality and published late. We use this information in relation to investment decisions.

 
Problem Statement 2

How might we:

  • better source, collect and store data
  • validate data sources faster and smarter
  • aggregate data from different repositories of publicly available information & government agencies (e.g. supply economic and statistical data from emerging markets).
Context

The current practice of information / data gathering is not comprehensive-, smart or intelligent-, or cheap and accessible-enough, which could be due to data owners’ practices.

 
Problem Statement 3

How could Investment Managers apply AI and Machine Learning to optimize models and to use data to enhance investment decisions and returns?

Context

Rule-based algorithms may be too simplistic, error prone and cannot learn and adapt to market changes.

Problem Statement

Given the widespread usage of masking and hacking tools, how might we detect, identify and predict cybercrime (financial or non-financial)?

Problem Statement 1

How could we use technology to optimise the Client Experience and become more effective (e.g. AML processes during client onboarding, refreshers, annual reviews, cross sell and upsell)?

 
Problem Statement 2

How might we use technology, alternative sources of data and analytics to understand end investors better so that we could design solutions to that will be more suitable and attractive to them?

Context

Investment managers do not have access to end investors directly and associated data and thus have to react to intermediaries’ demand for product or insights which are rarely shared

 
Problem Statement 3

How might we use technology to distribute our products directly to underserved / unserved end investors and ultimately grow the pool of ready investors across Singapore?

 
Problem Statement 4

How could we leverage technology to create a cost-effective solution for mass customised client reporting and insights?

Context

There are many different types of reports required by clients across different touch points and relationship models. Reports are often heavily customised & manual and they are specific to the client type (Institutional, Intermediary or even end investors)

Problem Statement

How could we use technology to automate, digitize in-house processes to reduce costs, simplify practices and transform experiences for both clients and employees?

Context

Investment managers interact with a number of service providers to execute an order.

Problem Statement

How might we provide an engaging and user-friendly education experience for the Investment Management industry, and drive self-learning to create a workforce of the future?




DAP 2021 TRACK 2
(LATEST TIMELINE)

1. Preparation Phase
Feb - May

Submission of Problem statements by Acceleration Partners (Problem Owners)

2. Application Phase
2 Jun - 13 Aug, 6pm

Innovation Thursday for all Solvers (applicants) to attend.

3. Evaluation Phase
16 Aug - 13 Sep

1. Stage A Evaluation Process (Online)
2. Stage B Evaluation Process (Interview)
3. Awarding the selected Finalist(s)

POC/Prototype
Development Phase
~3 - 6 Months

1. Support Finalist(s) to meet the agreed milestones with resources (e.g. domain expertise, site resources).

2. Lend support and understanding to Finalist(s) for IMDA’s extended coaching sessions.

3. Upon successful completion of POC/Prototype, award, selected FInalist(s) the remaining 70% of the prize money. The finalist(s) will be known as winners of your challenge. Potential profiling of challenge with Acceleration Partners (Problem Owners) and Problem Solvers (fintechs) for publicity and awareness.

Supporting Partners

IMAS Secretariat
3 Phillip Street
Royal Group Building #07-01
Singapore 048693
Tel: +65 6223 9353
Fax: +65 6223 9352
Email: Digital@imas.org.sg