Past DAP Problem Statements

Acceleration Partners for DAP 2021

The IMAS DAP is the first association-led buyside accelerator programme in Asia which provides a platform for fund managers to discover new ways to harness technology to solve problems their businesses face. The IMAS DAP is a platform to truly bridge the gap between Fintechs and Asset Management for technology innovations and solutions. The programme aims to help our member firms discover fintech solutions customised for the asset management industry by leveraging on broad fintech ecosystem with corporates, technology firms and government. Working together, these fintechs can help our members enhance their business processes to reduce costs and increase alpha. Given the breadth of the asset management industry, financial institutions can come together to create cost-effective solutions that address the common challenges faced.


With Singapore as a leading regional investment management hub, the IMAS DAP will ultimately serve as a gateway for Start-ups/Fintechs aiming to venture into the industry in South-east Asia. Partner with IMAS as we continuously innovate and create the future of investment management, together.

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 might we create solution that provides robust investment models, takes into account the huge amounts of data that are available for analysis, in order to come up with well-timed actionable investment recommendations that results in market outperformance, after taking into account all possible slippage costs?
Data Analytics to Identify Opportunities for Developing Better Financial and Non-Financial Offerings
How might we better understand our customer’s needs, so we develop financial and non-financial offerings (e.g. products, insights, education materials, etc.) that better meet their current and emerging needs to better engage the investors in the customer buying 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 we make information and access to non-traditional private funds more readily available for individual investors, providing them equal opportunity to invest in these funds without additional administrative or cost burdens for both the investors and fund managers?
Holistic Stock Assessment through Integrated Use of Internal and External Knowledge
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?
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?

Participant testimonials

“The evolution of the investment management industry is inevitable with the major innovations and advancements in technology in recent years. With technology at their hands, full potential of human capital can be put to use as they move up the value chain. The monotonous, routine and analytical works along with more complex data, trend and pattern analysis will be delegated to automation for its efficiencies, scale and cost benefits.

This augmentation will eventually allow business to derive more value from the same workforce as more time is spent on generating new ideas, interactions with clients and deriving decisions based on available information. We believe embracing digital disruption and technology companies will create more jobs than it replaces as the businesses will grow faster. The early movers will also have the time advantage to prepare their workforce for this new reality and take lead in this digital disruption. The future opportunities lie in the augmentation of human capital and technology rather than replacement of one for another.

The programs like IMAS DAP can play a crucial role in bringing the ecosystem together under one roof to ideate, innovate and implement the future of finance”



Abhinav Mishra, Co-founder & Chief Executive Officer, Value3 Advisory

Enable: If you think about the entire value chain of an Asset Manager, today everything from distribution to portfolio optimisation is mostly in-house. Given the resource constraints each individual firm has, the quality of each stage of that value chain that an individual Asset Manager can pragmatically effect is challenged. Technology companies do one thing and one thing only within that value chain. If Asset Managers are open enough to clearly identify what they are good at and are willing to work with technology companies to source the parts of the value chain where their track record of capital efficiency, cost or performance is weak, it could greatly enable their stakeholder outcomes.

Transform:Some technology companies faced with the frustration of selling into a rather unsophisticated B2B buying process in the Asset Management industry are raising sufficient capital to compete directly across the whole value chain. They are going B2C and we will see a horde of new fully digital Schroders, T Rowe Prices from asset aggregation from retail clients all the way to capital deployment through global mandates. This will dramatically change the intermediation cost models that we see in the current incumbents from asset aggregation to deployment and make it really difficult for incumbents to compete.

Essentially, Asset Managers that learn to work with lean and cost-effective high performant technology companies will thrive given the strength of their franchise, client servicing models and track record while technology companies that manage to successfully challenge the incumbents across the whole value chain will usher in a whole new operating model.”



Samir Rath, Chief Executive Officer, BlueFire AI

"Buy-side, investment managers are starting to recognise more and more the value of automation and are embracing technology to ease the regulatory burden. The collaboration within the IMAS DAP allowed ClauseMatch to better understand the specific challenges faced by the investment management industry, and to tailor its solutions to address their needs."



Evgeny Likhoded, Founder & Chief Executive Officer, ClauseMatch

"We're definitely lucky to be among those 10 companies selected to join the very first cohort of the IMAS DAP accelerator in Singapore this year! The focus of this program provided us with invaluable experience in the form of live collaboration and mentorship with one of the leading companies in the industry - Aberdeen Standard Investments. It has formed a solid basis for our product development for the industry."



Arathi Arul, Head of Business Development, APAC, ClauseMatch
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